Google OR-Tools v9.11
a fast and portable software suite for combinatorial optimization
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com.google.ortools.bop.BopParameters.Builder Class Reference
Inheritance diagram for com.google.ortools.bop.BopParameters.Builder:
com.google.ortools.bop.BopParametersOrBuilder

Public Member Functions

Builder clear ()
 
com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()
 
com.google.ortools.bop.BopParameters getDefaultInstanceForType ()
 
com.google.ortools.bop.BopParameters build ()
 
com.google.ortools.bop.BopParameters buildPartial ()
 
Builder mergeFrom (com.google.protobuf.Message other)
 
Builder mergeFrom (com.google.ortools.bop.BopParameters other)
 
final boolean isInitialized ()
 
Builder mergeFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException
 
boolean hasMaxTimeInSeconds ()
 
double getMaxTimeInSeconds ()
 
Builder setMaxTimeInSeconds (double value)
 
Builder clearMaxTimeInSeconds ()
 
boolean hasMaxDeterministicTime ()
 
double getMaxDeterministicTime ()
 
Builder setMaxDeterministicTime (double value)
 
Builder clearMaxDeterministicTime ()
 
boolean hasLpMaxDeterministicTime ()
 
double getLpMaxDeterministicTime ()
 
Builder setLpMaxDeterministicTime (double value)
 
Builder clearLpMaxDeterministicTime ()
 
boolean hasMaxNumberOfConsecutiveFailingOptimizerCalls ()
 
int getMaxNumberOfConsecutiveFailingOptimizerCalls ()
 
Builder setMaxNumberOfConsecutiveFailingOptimizerCalls (int value)
 
Builder clearMaxNumberOfConsecutiveFailingOptimizerCalls ()
 
boolean hasRelativeGapLimit ()
 
double getRelativeGapLimit ()
 
Builder setRelativeGapLimit (double value)
 
Builder clearRelativeGapLimit ()
 
boolean hasMaxNumDecisionsInLs ()
 
int getMaxNumDecisionsInLs ()
 
Builder setMaxNumDecisionsInLs (int value)
 
Builder clearMaxNumDecisionsInLs ()
 
boolean hasMaxNumBrokenConstraintsInLs ()
 
int getMaxNumBrokenConstraintsInLs ()
 
Builder setMaxNumBrokenConstraintsInLs (int value)
 
Builder clearMaxNumBrokenConstraintsInLs ()
 
boolean hasLogSearchProgress ()
 
boolean getLogSearchProgress ()
 
Builder setLogSearchProgress (boolean value)
 
Builder clearLogSearchProgress ()
 
boolean hasComputeEstimatedImpact ()
 
boolean getComputeEstimatedImpact ()
 
Builder setComputeEstimatedImpact (boolean value)
 
Builder clearComputeEstimatedImpact ()
 
boolean hasPruneSearchTree ()
 
boolean getPruneSearchTree ()
 
Builder setPruneSearchTree (boolean value)
 
Builder clearPruneSearchTree ()
 
boolean hasSortConstraintsByNumTerms ()
 
boolean getSortConstraintsByNumTerms ()
 
Builder setSortConstraintsByNumTerms (boolean value)
 
Builder clearSortConstraintsByNumTerms ()
 
boolean hasUseRandomLns ()
 
boolean getUseRandomLns ()
 
Builder setUseRandomLns (boolean value)
 
Builder clearUseRandomLns ()
 
boolean hasRandomSeed ()
 
int getRandomSeed ()
 
Builder setRandomSeed (int value)
 
Builder clearRandomSeed ()
 
boolean hasNumRelaxedVars ()
 
int getNumRelaxedVars ()
 
Builder setNumRelaxedVars (int value)
 
Builder clearNumRelaxedVars ()
 
boolean hasMaxNumberOfConflictsInRandomLns ()
 
int getMaxNumberOfConflictsInRandomLns ()
 
Builder setMaxNumberOfConflictsInRandomLns (int value)
 
Builder clearMaxNumberOfConflictsInRandomLns ()
 
boolean hasNumRandomLnsTries ()
 
int getNumRandomLnsTries ()
 
Builder setNumRandomLnsTries (int value)
 
Builder clearNumRandomLnsTries ()
 
boolean hasMaxNumberOfBacktracksInLs ()
 
long getMaxNumberOfBacktracksInLs ()
 
Builder setMaxNumberOfBacktracksInLs (long value)
 
Builder clearMaxNumberOfBacktracksInLs ()
 
boolean hasUseLpLns ()
 
boolean getUseLpLns ()
 
Builder setUseLpLns (boolean value)
 
Builder clearUseLpLns ()
 
boolean hasUseSatToChooseLnsNeighbourhood ()
 
boolean getUseSatToChooseLnsNeighbourhood ()
 
Builder setUseSatToChooseLnsNeighbourhood (boolean value)
 
Builder clearUseSatToChooseLnsNeighbourhood ()
 
boolean hasMaxNumberOfConflictsForQuickCheck ()
 
int getMaxNumberOfConflictsForQuickCheck ()
 
Builder setMaxNumberOfConflictsForQuickCheck (int value)
 
Builder clearMaxNumberOfConflictsForQuickCheck ()
 
boolean hasUseSymmetry ()
 
boolean getUseSymmetry ()
 
Builder setUseSymmetry (boolean value)
 
Builder clearUseSymmetry ()
 
boolean hasExploitSymmetryInSatFirstSolution ()
 
boolean getExploitSymmetryInSatFirstSolution ()
 
Builder setExploitSymmetryInSatFirstSolution (boolean value)
 
Builder clearExploitSymmetryInSatFirstSolution ()
 
boolean hasMaxNumberOfConflictsInRandomSolutionGeneration ()
 
int getMaxNumberOfConflictsInRandomSolutionGeneration ()
 
Builder setMaxNumberOfConflictsInRandomSolutionGeneration (int value)
 
Builder clearMaxNumberOfConflictsInRandomSolutionGeneration ()
 
boolean hasMaxNumberOfExploredAssignmentsPerTryInLs ()
 
long getMaxNumberOfExploredAssignmentsPerTryInLs ()
 
Builder setMaxNumberOfExploredAssignmentsPerTryInLs (long value)
 
Builder clearMaxNumberOfExploredAssignmentsPerTryInLs ()
 
boolean hasUseTranspositionTableInLs ()
 
boolean getUseTranspositionTableInLs ()
 
Builder setUseTranspositionTableInLs (boolean value)
 
Builder clearUseTranspositionTableInLs ()
 
boolean hasUsePotentialOneFlipRepairsInLs ()
 
boolean getUsePotentialOneFlipRepairsInLs ()
 
Builder setUsePotentialOneFlipRepairsInLs (boolean value)
 
Builder clearUsePotentialOneFlipRepairsInLs ()
 
boolean hasUseLearnedBinaryClausesInLp ()
 
boolean getUseLearnedBinaryClausesInLp ()
 
Builder setUseLearnedBinaryClausesInLp (boolean value)
 
Builder clearUseLearnedBinaryClausesInLp ()
 
boolean hasNumberOfSolvers ()
 
int getNumberOfSolvers ()
 
Builder setNumberOfSolvers (int value)
 
Builder clearNumberOfSolvers ()
 
boolean hasSynchronizationType ()
 
com.google.ortools.bop.BopParameters.ThreadSynchronizationType getSynchronizationType ()
 
Builder setSynchronizationType (com.google.ortools.bop.BopParameters.ThreadSynchronizationType value)
 
Builder clearSynchronizationType ()
 
java.util.List< com.google.ortools.bop.BopSolverOptimizerSetgetSolverOptimizerSetsList ()
 
int getSolverOptimizerSetsCount ()
 
com.google.ortools.bop.BopSolverOptimizerSet getSolverOptimizerSets (int index)
 
Builder setSolverOptimizerSets (int index, com.google.ortools.bop.BopSolverOptimizerSet value)
 
Builder setSolverOptimizerSets (int index, com.google.ortools.bop.BopSolverOptimizerSet.Builder builderForValue)
 
Builder addSolverOptimizerSets (com.google.ortools.bop.BopSolverOptimizerSet value)
 
Builder addSolverOptimizerSets (int index, com.google.ortools.bop.BopSolverOptimizerSet value)
 
Builder addSolverOptimizerSets (com.google.ortools.bop.BopSolverOptimizerSet.Builder builderForValue)
 
Builder addSolverOptimizerSets (int index, com.google.ortools.bop.BopSolverOptimizerSet.Builder builderForValue)
 
Builder addAllSolverOptimizerSets (java.lang.Iterable<? extends com.google.ortools.bop.BopSolverOptimizerSet > values)
 
Builder clearSolverOptimizerSets ()
 
Builder removeSolverOptimizerSets (int index)
 
com.google.ortools.bop.BopSolverOptimizerSet.Builder getSolverOptimizerSetsBuilder (int index)
 
com.google.ortools.bop.BopSolverOptimizerSetOrBuilder getSolverOptimizerSetsOrBuilder (int index)
 
java.util.List<? extends com.google.ortools.bop.BopSolverOptimizerSetOrBuildergetSolverOptimizerSetsOrBuilderList ()
 
com.google.ortools.bop.BopSolverOptimizerSet.Builder addSolverOptimizerSetsBuilder ()
 
com.google.ortools.bop.BopSolverOptimizerSet.Builder addSolverOptimizerSetsBuilder (int index)
 
java.util.List< com.google.ortools.bop.BopSolverOptimizerSet.BuildergetSolverOptimizerSetsBuilderList ()
 
boolean hasDefaultSolverOptimizerSets ()
 
java.lang.String getDefaultSolverOptimizerSets ()
 
com.google.protobuf.ByteString getDefaultSolverOptimizerSetsBytes ()
 
Builder setDefaultSolverOptimizerSets (java.lang.String value)
 
Builder clearDefaultSolverOptimizerSets ()
 
Builder setDefaultSolverOptimizerSetsBytes (com.google.protobuf.ByteString value)
 
boolean hasUseLpStrongBranching ()
 
boolean getUseLpStrongBranching ()
 
Builder setUseLpStrongBranching (boolean value)
 
Builder clearUseLpStrongBranching ()
 
boolean hasDecomposerNumVariablesThreshold ()
 
int getDecomposerNumVariablesThreshold ()
 
Builder setDecomposerNumVariablesThreshold (int value)
 
Builder clearDecomposerNumVariablesThreshold ()
 
boolean hasNumBopSolversUsedByDecomposition ()
 
int getNumBopSolversUsedByDecomposition ()
 
Builder setNumBopSolversUsedByDecomposition (int value)
 
Builder clearNumBopSolversUsedByDecomposition ()
 
boolean hasDecomposedProblemMinTimeInSeconds ()
 
double getDecomposedProblemMinTimeInSeconds ()
 
Builder setDecomposedProblemMinTimeInSeconds (double value)
 
Builder clearDecomposedProblemMinTimeInSeconds ()
 
boolean hasGuidedSatConflictsChunk ()
 
int getGuidedSatConflictsChunk ()
 
Builder setGuidedSatConflictsChunk (int value)
 
Builder clearGuidedSatConflictsChunk ()
 
boolean hasMaxLpSolveForFeasibilityProblems ()
 
int getMaxLpSolveForFeasibilityProblems ()
 
Builder setMaxLpSolveForFeasibilityProblems (int value)
 
Builder clearMaxLpSolveForFeasibilityProblems ()
 
- Public Member Functions inherited from com.google.ortools.bop.BopParametersOrBuilder

Static Public Member Functions

static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()
 

Protected Member Functions

com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable ()
 

Detailed Description

Contains the definitions for all the bop algorithm parameters and their
default values.

NEXT TAG: 42

Protobuf type operations_research.bop.BopParameters

Definition at line 2229 of file BopParameters.java.

Member Function Documentation

◆ addAllSolverOptimizerSets()

Builder com.google.ortools.bop.BopParameters.Builder.addAllSolverOptimizerSets ( java.lang.Iterable<? extends com.google.ortools.bop.BopSolverOptimizerSet > values)
List of set of optimizers to be run by the solvers.
Note that the i_th solver will run the
min(i, solver_optimizer_sets_size())_th optimizer set.
The default is defined by default_solver_optimizer_sets (only one set).

repeated .operations_research.bop.BopSolverOptimizerSet solver_optimizer_sets = 26;

Definition at line 4892 of file BopParameters.java.

◆ addSolverOptimizerSets() [1/4]

Builder com.google.ortools.bop.BopParameters.Builder.addSolverOptimizerSets ( com.google.ortools.bop.BopSolverOptimizerSet value)
List of set of optimizers to be run by the solvers.
Note that the i_th solver will run the
min(i, solver_optimizer_sets_size())_th optimizer set.
The default is defined by default_solver_optimizer_sets (only one set).

repeated .operations_research.bop.BopSolverOptimizerSet solver_optimizer_sets = 26;

Definition at line 4803 of file BopParameters.java.

◆ addSolverOptimizerSets() [2/4]

Builder com.google.ortools.bop.BopParameters.Builder.addSolverOptimizerSets ( com.google.ortools.bop.BopSolverOptimizerSet.Builder builderForValue)
List of set of optimizers to be run by the solvers.
Note that the i_th solver will run the
min(i, solver_optimizer_sets_size())_th optimizer set.
The default is defined by default_solver_optimizer_sets (only one set).

repeated .operations_research.bop.BopSolverOptimizerSet solver_optimizer_sets = 26;

Definition at line 4850 of file BopParameters.java.

◆ addSolverOptimizerSets() [3/4]

Builder com.google.ortools.bop.BopParameters.Builder.addSolverOptimizerSets ( int index,
com.google.ortools.bop.BopSolverOptimizerSet value )
List of set of optimizers to be run by the solvers.
Note that the i_th solver will run the
min(i, solver_optimizer_sets_size())_th optimizer set.
The default is defined by default_solver_optimizer_sets (only one set).

repeated .operations_research.bop.BopSolverOptimizerSet solver_optimizer_sets = 26;

Definition at line 4826 of file BopParameters.java.

◆ addSolverOptimizerSets() [4/4]

Builder com.google.ortools.bop.BopParameters.Builder.addSolverOptimizerSets ( int index,
com.google.ortools.bop.BopSolverOptimizerSet.Builder builderForValue )
List of set of optimizers to be run by the solvers.
Note that the i_th solver will run the
min(i, solver_optimizer_sets_size())_th optimizer set.
The default is defined by default_solver_optimizer_sets (only one set).

repeated .operations_research.bop.BopSolverOptimizerSet solver_optimizer_sets = 26;

Definition at line 4871 of file BopParameters.java.

◆ addSolverOptimizerSetsBuilder() [1/2]

com.google.ortools.bop.BopSolverOptimizerSet.Builder com.google.ortools.bop.BopParameters.Builder.addSolverOptimizerSetsBuilder ( )
List of set of optimizers to be run by the solvers.
Note that the i_th solver will run the
min(i, solver_optimizer_sets_size())_th optimizer set.
The default is defined by default_solver_optimizer_sets (only one set).

repeated .operations_research.bop.BopSolverOptimizerSet solver_optimizer_sets = 26;

Definition at line 5003 of file BopParameters.java.

◆ addSolverOptimizerSetsBuilder() [2/2]

com.google.ortools.bop.BopSolverOptimizerSet.Builder com.google.ortools.bop.BopParameters.Builder.addSolverOptimizerSetsBuilder ( int index)
List of set of optimizers to be run by the solvers.
Note that the i_th solver will run the
min(i, solver_optimizer_sets_size())_th optimizer set.
The default is defined by default_solver_optimizer_sets (only one set).

repeated .operations_research.bop.BopSolverOptimizerSet solver_optimizer_sets = 26;

Definition at line 5017 of file BopParameters.java.

◆ build()

com.google.ortools.bop.BopParameters com.google.ortools.bop.BopParameters.Builder.build ( )

Definition at line 2319 of file BopParameters.java.

◆ buildPartial()

com.google.ortools.bop.BopParameters com.google.ortools.bop.BopParameters.Builder.buildPartial ( )

Definition at line 2328 of file BopParameters.java.

◆ clear()

Builder com.google.ortools.bop.BopParameters.Builder.clear ( )

Definition at line 2257 of file BopParameters.java.

◆ clearComputeEstimatedImpact()

Builder com.google.ortools.bop.BopParameters.Builder.clearComputeEstimatedImpact ( )
Compute estimated impact at each iteration when true; only once when false.

optional bool compute_estimated_impact = 3 [default = true];

Returns
This builder for chaining.

Definition at line 3468 of file BopParameters.java.

◆ clearDecomposedProblemMinTimeInSeconds()

Builder com.google.ortools.bop.BopParameters.Builder.clearDecomposedProblemMinTimeInSeconds ( )
HACK. To avoid spending too little time on small problems, spend at least
this time solving each of the decomposed sub-problem. This only make sense
if num_bop_solvers_used_by_decomposition is greater than 1 so that the
overhead can be "absorbed" by the other threads.

optional double decomposed_problem_min_time_in_seconds = 36 [default = 0];

Returns
This builder for chaining.

Definition at line 5404 of file BopParameters.java.

◆ clearDecomposerNumVariablesThreshold()

Builder com.google.ortools.bop.BopParameters.Builder.clearDecomposerNumVariablesThreshold ( )
Only try to decompose the problem when the number of variables is greater
than the threshold.

optional int32 decomposer_num_variables_threshold = 30 [default = 50];

Returns
This builder for chaining.

Definition at line 5272 of file BopParameters.java.

◆ clearDefaultSolverOptimizerSets()

Builder com.google.ortools.bop.BopParameters.Builder.clearDefaultSolverOptimizerSets ( )

optional string default_solver_optimizer_sets = 33 [default = "methods:{type:LOCAL_SEARCH } methods:{type:RANDOM_FIRST_SOLUTION } methods:{type:LINEAR_RELAXATION } methods:{type:LP_FIRST_SOLUTION } methods:{type:OBJECTIVE_FIRST_SOLUTION } methods:{type:USER_GUIDED_FIRST_SOLUTION } methods:{type:RANDOM_CONSTRAINT_LNS_GUIDED_BY_LP } methods:{type:RANDOM_VARIABLE_LNS_GUIDED_BY_LP } methods:{type:RELATION_GRAPH_LNS } methods:{type:RELATION_GRAPH_LNS_GUIDED_BY_LP } methods:{type:RANDOM_CONSTRAINT_LNS } methods:{type:RANDOM_VARIABLE_LNS } methods:{type:SAT_CORE_BASED } methods:{type:COMPLETE_LNS } "];

Returns
This builder for chaining.

Definition at line 5111 of file BopParameters.java.

◆ clearExploitSymmetryInSatFirstSolution()

Builder com.google.ortools.bop.BopParameters.Builder.clearExploitSymmetryInSatFirstSolution ( )
If true, find and exploit symmetries in proving satisfiability in the first
problem.
This feature is experimental. On some problems, computing symmetries may
run forever. You may also run into unforseen problems as this feature was
not extensively tested.

optional bool exploit_symmetry_in_sat_first_solution = 40 [default = false];

Returns
This builder for chaining.

Definition at line 4260 of file BopParameters.java.

◆ clearGuidedSatConflictsChunk()

Builder com.google.ortools.bop.BopParameters.Builder.clearGuidedSatConflictsChunk ( )
The first solutions based on guided SAT will work in chunk of that many
conflicts at the time. This allows to simulate parallelism between the
different guiding strategy on a single core.

optional int32 guided_sat_conflicts_chunk = 34 [default = 1000];

Returns
This builder for chaining.

Definition at line 5468 of file BopParameters.java.

◆ clearLogSearchProgress()

Builder com.google.ortools.bop.BopParameters.Builder.clearLogSearchProgress ( )
Whether the solver should log the search progress to LOG(INFO).

optional bool log_search_progress = 14 [default = false];

Returns
This builder for chaining.

Definition at line 3412 of file BopParameters.java.

◆ clearLpMaxDeterministicTime()

Builder com.google.ortools.bop.BopParameters.Builder.clearLpMaxDeterministicTime ( )
The max deterministic time given to the LP solver each time it is called.
If this is not enough to solve the LP at hand, it will simply be called
again later (and the solve will resume from where it stopped).

optional double lp_max_deterministic_time = 37 [default = 1];

Returns
This builder for chaining.

Definition at line 3088 of file BopParameters.java.

◆ clearMaxDeterministicTime()

Builder com.google.ortools.bop.BopParameters.Builder.clearMaxDeterministicTime ( )
Maximum time allowed in deterministic time to solve a problem.
The deterministic time should be correlated with the real time used by the
solver, the time unit being roughly the order of magnitude of a second.
The counter will starts as soon as SetParameters() or SolveWithTimeLimit()
is called.

optional double max_deterministic_time = 27 [default = inf];

Returns
This builder for chaining.

Definition at line 3024 of file BopParameters.java.

◆ clearMaxLpSolveForFeasibilityProblems()

Builder com.google.ortools.bop.BopParameters.Builder.clearMaxLpSolveForFeasibilityProblems ( )
The maximum number of time the LP solver will run to feasibility for pure
feasibility problems (with a constant-valued objective function). Set this
to a small value, e.g., 1, if fractional solutions offer useful guidance to
other solvers in the portfolio. A negative value means no limit.

optional int32 max_lp_solve_for_feasibility_problems = 41 [default = 0];

Returns
This builder for chaining.

Definition at line 5536 of file BopParameters.java.

◆ clearMaxNumberOfBacktracksInLs()

Builder com.google.ortools.bop.BopParameters.Builder.clearMaxNumberOfBacktracksInLs ( )
Maximum number of backtracks times the number of variables in Local Search,
ie. max num backtracks == max_number_of_backtracks_in_ls / num variables.

optional int64 max_number_of_backtracks_in_ls = 11 [default = 100000000];

Returns
This builder for chaining.

Definition at line 3944 of file BopParameters.java.

◆ clearMaxNumberOfConflictsForQuickCheck()

Builder com.google.ortools.bop.BopParameters.Builder.clearMaxNumberOfConflictsForQuickCheck ( )
The number of conflicts the SAT solver has to solve a random LNS
subproblem for the quick check of infeasibility.

optional int32 max_number_of_conflicts_for_quick_check = 16 [default = 10];

Returns
This builder for chaining.

Definition at line 4116 of file BopParameters.java.

◆ clearMaxNumberOfConflictsInRandomLns()

Builder com.google.ortools.bop.BopParameters.Builder.clearMaxNumberOfConflictsInRandomLns ( )
The number of conflicts the SAT solver has to solve a random LNS
subproblem.

optional int32 max_number_of_conflicts_in_random_lns = 9 [default = 2500];

Returns
This builder for chaining.

Definition at line 3828 of file BopParameters.java.

◆ clearMaxNumberOfConflictsInRandomSolutionGeneration()

Builder com.google.ortools.bop.BopParameters.Builder.clearMaxNumberOfConflictsInRandomSolutionGeneration ( )
The number of conflicts the SAT solver has to generate a random solution.

optional int32 max_number_of_conflicts_in_random_solution_generation = 20 [default = 500];

Returns
This builder for chaining.

Definition at line 4316 of file BopParameters.java.

◆ clearMaxNumberOfConsecutiveFailingOptimizerCalls()

Builder com.google.ortools.bop.BopParameters.Builder.clearMaxNumberOfConsecutiveFailingOptimizerCalls ( )
Maximum number of consecutive optimizer calls without improving the
current solution. If this number is reached, the search will be aborted.
Note that this parameter only applies when an initial solution has been
found or is provided. Also note that there is no limit to the number of
calls, when the parameter is not set.

optional int32 max_number_of_consecutive_failing_optimizer_calls = 35;

Returns
This builder for chaining.

Definition at line 3160 of file BopParameters.java.

◆ clearMaxNumberOfExploredAssignmentsPerTryInLs()

Builder com.google.ortools.bop.BopParameters.Builder.clearMaxNumberOfExploredAssignmentsPerTryInLs ( )
The maximum number of assignments the Local Search iterates on during one
try. Note that if the Local Search is called again on the same solution
it will not restart from scratch but will iterate on the next
max_number_of_explored_assignments_per_try_in_ls assignments.

optional int64 max_number_of_explored_assignments_per_try_in_ls = 21 [default = 10000];

Returns
This builder for chaining.

Definition at line 4384 of file BopParameters.java.

◆ clearMaxNumBrokenConstraintsInLs()

Builder com.google.ortools.bop.BopParameters.Builder.clearMaxNumBrokenConstraintsInLs ( )
Abort the LS search tree as soon as strictly more than this number of
constraints are broken. The default is a large value which basically
disable this heuristic.

optional int32 max_num_broken_constraints_in_ls = 38 [default = 2147483647];

Returns
This builder for chaining.

Definition at line 3356 of file BopParameters.java.

◆ clearMaxNumDecisionsInLs()

Builder com.google.ortools.bop.BopParameters.Builder.clearMaxNumDecisionsInLs ( )
Maximum number of cascading decisions the solver might use to repair the
current solution in the LS.

optional int32 max_num_decisions_in_ls = 2 [default = 4];

Returns
This builder for chaining.

Definition at line 3292 of file BopParameters.java.

◆ clearMaxTimeInSeconds()

Builder com.google.ortools.bop.BopParameters.Builder.clearMaxTimeInSeconds ( )
Maximum time allowed in seconds to solve a problem.
The counter will starts as soon as Solve() is called.

optional double max_time_in_seconds = 1 [default = inf];

Returns
This builder for chaining.

Definition at line 2952 of file BopParameters.java.

◆ clearNumberOfSolvers()

Builder com.google.ortools.bop.BopParameters.Builder.clearNumberOfSolvers ( )
The number of solvers used to run Bop. Note that one thread will be created
per solver. The type of communication between solvers is specified by the
synchronization_type parameter.

optional int32 number_of_solvers = 24 [default = 1];

Returns
This builder for chaining.

Definition at line 4636 of file BopParameters.java.

◆ clearNumBopSolversUsedByDecomposition()

Builder com.google.ortools.bop.BopParameters.Builder.clearNumBopSolversUsedByDecomposition ( )
The number of BopSolver created (thread pool workers) used by the integral
solver to solve a decomposed problem.
TODO(user): Merge this with the number_of_solvers parameter.

optional int32 num_bop_solvers_used_by_decomposition = 31 [default = 1];

Returns
This builder for chaining.

Definition at line 5336 of file BopParameters.java.

◆ clearNumRandomLnsTries()

Builder com.google.ortools.bop.BopParameters.Builder.clearNumRandomLnsTries ( )
Number of tries in the random lns.

optional int32 num_random_lns_tries = 10 [default = 1];

Returns
This builder for chaining.

Definition at line 3884 of file BopParameters.java.

◆ clearNumRelaxedVars()

Builder com.google.ortools.bop.BopParameters.Builder.clearNumRelaxedVars ( )
Number of variables to relax in the exhaustive Large Neighborhood Search.

optional int32 num_relaxed_vars = 8 [default = 10];

Returns
This builder for chaining.

Definition at line 3768 of file BopParameters.java.

◆ clearPruneSearchTree()

Builder com.google.ortools.bop.BopParameters.Builder.clearPruneSearchTree ( )
Avoid exploring both branches (b, a, ...) and (a, b, ...).

optional bool prune_search_tree = 4 [default = false];

Returns
This builder for chaining.

Definition at line 3524 of file BopParameters.java.

◆ clearRandomSeed()

Builder com.google.ortools.bop.BopParameters.Builder.clearRandomSeed ( )
The seed used to initialize the random generator.

TODO(user): Some of our client test fail depending on this value! we need
to fix them and ideally randomize our behavior from on test to the next so
that this doesn't happen in the future.

optional int32 random_seed = 7 [default = 8];

Returns
This builder for chaining.

Definition at line 3712 of file BopParameters.java.

◆ clearRelativeGapLimit()

Builder com.google.ortools.bop.BopParameters.Builder.clearRelativeGapLimit ( )
Limit used to stop the optimization as soon as the relative gap is smaller
than the given value.
The relative gap is defined as:
abs(solution_cost - best_bound)
/ max(abs(solution_cost), abs(best_bound)).

optional double relative_gap_limit = 28 [default = 0.0001];

Returns
This builder for chaining.

Definition at line 3232 of file BopParameters.java.

◆ clearSolverOptimizerSets()

Builder com.google.ortools.bop.BopParameters.Builder.clearSolverOptimizerSets ( )
List of set of optimizers to be run by the solvers.
Note that the i_th solver will run the
min(i, solver_optimizer_sets_size())_th optimizer set.
The default is defined by default_solver_optimizer_sets (only one set).

repeated .operations_research.bop.BopSolverOptimizerSet solver_optimizer_sets = 26;

Definition at line 4914 of file BopParameters.java.

◆ clearSortConstraintsByNumTerms()

Builder com.google.ortools.bop.BopParameters.Builder.clearSortConstraintsByNumTerms ( )
Sort constraints by increasing total number of terms instead of number of
contributing terms.

optional bool sort_constraints_by_num_terms = 5 [default = false];

Returns
This builder for chaining.

Definition at line 3584 of file BopParameters.java.

◆ clearSynchronizationType()

Builder com.google.ortools.bop.BopParameters.Builder.clearSynchronizationType ( )

optional .operations_research.bop.BopParameters.ThreadSynchronizationType synchronization_type = 25 [default = NO_SYNCHRONIZATION];

Returns
This builder for chaining.

Definition at line 4678 of file BopParameters.java.

◆ clearUseLearnedBinaryClausesInLp()

Builder com.google.ortools.bop.BopParameters.Builder.clearUseLearnedBinaryClausesInLp ( )
Whether we use the learned binary clauses in the Linear Relaxation.

optional bool use_learned_binary_clauses_in_lp = 23 [default = true];

Returns
This builder for chaining.

Definition at line 4572 of file BopParameters.java.

◆ clearUseLpLns()

Builder com.google.ortools.bop.BopParameters.Builder.clearUseLpLns ( )
Use Large Neighborhood Search based on the LP relaxation.

optional bool use_lp_lns = 12 [default = true];

Returns
This builder for chaining.

Definition at line 4000 of file BopParameters.java.

◆ clearUseLpStrongBranching()

Builder com.google.ortools.bop.BopParameters.Builder.clearUseLpStrongBranching ( )
Use strong branching in the linear relaxation optimizer.
The strong branching is a what-if analysis on each variable v, i.e.
compute the best bound when v is assigned to true, compute the best bound
when v is assigned to false, and then use those best bounds to improve the
overall best bound.
This is useful to improve the best_bound, but also to fix some variables
during search.
Note that using probing might be time consuming as it runs the LP solver
2 * num_variables times.

optional bool use_lp_strong_branching = 29 [default = false];

Returns
This builder for chaining.

Definition at line 5212 of file BopParameters.java.

◆ clearUsePotentialOneFlipRepairsInLs()

Builder com.google.ortools.bop.BopParameters.Builder.clearUsePotentialOneFlipRepairsInLs ( )
Whether we keep a list of variable that can potentially repair in one flip
all the current infeasible constraints (such variable must at least appear
in all the infeasible constraints for this to happen).

optional bool use_potential_one_flip_repairs_in_ls = 39 [default = false];

Returns
This builder for chaining.

Definition at line 4516 of file BopParameters.java.

◆ clearUseRandomLns()

Builder com.google.ortools.bop.BopParameters.Builder.clearUseRandomLns ( )
Use the random Large Neighborhood Search instead of the exhaustive one.

optional bool use_random_lns = 6 [default = true];

Returns
This builder for chaining.

Definition at line 3640 of file BopParameters.java.

◆ clearUseSatToChooseLnsNeighbourhood()

Builder com.google.ortools.bop.BopParameters.Builder.clearUseSatToChooseLnsNeighbourhood ( )
Whether we use sat propagation to choose the lns neighbourhood.

optional bool use_sat_to_choose_lns_neighbourhood = 15 [default = true];

Returns
This builder for chaining.

Definition at line 4056 of file BopParameters.java.

◆ clearUseSymmetry()

Builder com.google.ortools.bop.BopParameters.Builder.clearUseSymmetry ( )
If true, find and exploit the eventual symmetries of the problem.

TODO(user): turn this on by default once the symmetry finder becomes fast
enough to be negligeable for most problem. Or at least support a time
limit.

optional bool use_symmetry = 17 [default = false];

Returns
This builder for chaining.

Definition at line 4188 of file BopParameters.java.

◆ clearUseTranspositionTableInLs()

Builder com.google.ortools.bop.BopParameters.Builder.clearUseTranspositionTableInLs ( )
Whether we use an hash set during the LS to avoid exploring more than once
the "same" state. Note that because the underlying SAT solver may learn
information in the middle of the LS, this may make the LS slightly less
"complete", but it should be faster.

optional bool use_transposition_table_in_ls = 22 [default = true];

Returns
This builder for chaining.

Definition at line 4452 of file BopParameters.java.

◆ getComputeEstimatedImpact()

boolean com.google.ortools.bop.BopParameters.Builder.getComputeEstimatedImpact ( )
Compute estimated impact at each iteration when true; only once when false.

optional bool compute_estimated_impact = 3 [default = true];

Returns
The computeEstimatedImpact.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3441 of file BopParameters.java.

◆ getDecomposedProblemMinTimeInSeconds()

double com.google.ortools.bop.BopParameters.Builder.getDecomposedProblemMinTimeInSeconds ( )
HACK. To avoid spending too little time on small problems, spend at least
this time solving each of the decomposed sub-problem. This only make sense
if num_bop_solvers_used_by_decomposition is greater than 1 so that the
overhead can be "absorbed" by the other threads.

optional double decomposed_problem_min_time_in_seconds = 36 [default = 0];

Returns
The decomposedProblemMinTimeInSeconds.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 5371 of file BopParameters.java.

◆ getDecomposerNumVariablesThreshold()

int com.google.ortools.bop.BopParameters.Builder.getDecomposerNumVariablesThreshold ( )
Only try to decompose the problem when the number of variables is greater
than the threshold.

optional int32 decomposer_num_variables_threshold = 30 [default = 50];

Returns
The decomposerNumVariablesThreshold.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 5243 of file BopParameters.java.

◆ getDefaultInstanceForType()

com.google.ortools.bop.BopParameters com.google.ortools.bop.BopParameters.Builder.getDefaultInstanceForType ( )

Definition at line 2314 of file BopParameters.java.

◆ getDefaultSolverOptimizerSets()

java.lang.String com.google.ortools.bop.BopParameters.Builder.getDefaultSolverOptimizerSets ( )

optional string default_solver_optimizer_sets = 33 [default = "methods:{type:LOCAL_SEARCH } methods:{type:RANDOM_FIRST_SOLUTION } methods:{type:LINEAR_RELAXATION } methods:{type:LP_FIRST_SOLUTION } methods:{type:OBJECTIVE_FIRST_SOLUTION } methods:{type:USER_GUIDED_FIRST_SOLUTION } methods:{type:RANDOM_CONSTRAINT_LNS_GUIDED_BY_LP } methods:{type:RANDOM_VARIABLE_LNS_GUIDED_BY_LP } methods:{type:RELATION_GRAPH_LNS } methods:{type:RELATION_GRAPH_LNS_GUIDED_BY_LP } methods:{type:RANDOM_CONSTRAINT_LNS } methods:{type:RANDOM_VARIABLE_LNS } methods:{type:SAT_CORE_BASED } methods:{type:COMPLETE_LNS } "];

Returns
The defaultSolverOptimizerSets.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 5063 of file BopParameters.java.

◆ getDefaultSolverOptimizerSetsBytes()

com.google.protobuf.ByteString com.google.ortools.bop.BopParameters.Builder.getDefaultSolverOptimizerSetsBytes ( )

optional string default_solver_optimizer_sets = 33 [default = "methods:{type:LOCAL_SEARCH } methods:{type:RANDOM_FIRST_SOLUTION } methods:{type:LINEAR_RELAXATION } methods:{type:LP_FIRST_SOLUTION } methods:{type:OBJECTIVE_FIRST_SOLUTION } methods:{type:USER_GUIDED_FIRST_SOLUTION } methods:{type:RANDOM_CONSTRAINT_LNS_GUIDED_BY_LP } methods:{type:RANDOM_VARIABLE_LNS_GUIDED_BY_LP } methods:{type:RELATION_GRAPH_LNS } methods:{type:RELATION_GRAPH_LNS_GUIDED_BY_LP } methods:{type:RANDOM_CONSTRAINT_LNS } methods:{type:RANDOM_VARIABLE_LNS } methods:{type:SAT_CORE_BASED } methods:{type:COMPLETE_LNS } "];

Returns
The bytes for defaultSolverOptimizerSets.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 5082 of file BopParameters.java.

◆ getDescriptor()

static final com.google.protobuf.Descriptors.Descriptor com.google.ortools.bop.BopParameters.Builder.getDescriptor ( )
static

Definition at line 2234 of file BopParameters.java.

◆ getDescriptorForType()

com.google.protobuf.Descriptors.Descriptor com.google.ortools.bop.BopParameters.Builder.getDescriptorForType ( )

Definition at line 2309 of file BopParameters.java.

◆ getExploitSymmetryInSatFirstSolution()

boolean com.google.ortools.bop.BopParameters.Builder.getExploitSymmetryInSatFirstSolution ( )
If true, find and exploit symmetries in proving satisfiability in the first
problem.
This feature is experimental. On some problems, computing symmetries may
run forever. You may also run into unforseen problems as this feature was
not extensively tested.

optional bool exploit_symmetry_in_sat_first_solution = 40 [default = false];

Returns
The exploitSymmetryInSatFirstSolution.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4225 of file BopParameters.java.

◆ getGuidedSatConflictsChunk()

int com.google.ortools.bop.BopParameters.Builder.getGuidedSatConflictsChunk ( )
The first solutions based on guided SAT will work in chunk of that many
conflicts at the time. This allows to simulate parallelism between the
different guiding strategy on a single core.

optional int32 guided_sat_conflicts_chunk = 34 [default = 1000];

Returns
The guidedSatConflictsChunk.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 5437 of file BopParameters.java.

◆ getLogSearchProgress()

boolean com.google.ortools.bop.BopParameters.Builder.getLogSearchProgress ( )
Whether the solver should log the search progress to LOG(INFO).

optional bool log_search_progress = 14 [default = false];

Returns
The logSearchProgress.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3385 of file BopParameters.java.

◆ getLpMaxDeterministicTime()

double com.google.ortools.bop.BopParameters.Builder.getLpMaxDeterministicTime ( )
The max deterministic time given to the LP solver each time it is called.
If this is not enough to solve the LP at hand, it will simply be called
again later (and the solve will resume from where it stopped).

optional double lp_max_deterministic_time = 37 [default = 1];

Returns
The lpMaxDeterministicTime.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3057 of file BopParameters.java.

◆ getMaxDeterministicTime()

double com.google.ortools.bop.BopParameters.Builder.getMaxDeterministicTime ( )
Maximum time allowed in deterministic time to solve a problem.
The deterministic time should be correlated with the real time used by the
solver, the time unit being roughly the order of magnitude of a second.
The counter will starts as soon as SetParameters() or SolveWithTimeLimit()
is called.

optional double max_deterministic_time = 27 [default = inf];

Returns
The maxDeterministicTime.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 2989 of file BopParameters.java.

◆ getMaxLpSolveForFeasibilityProblems()

int com.google.ortools.bop.BopParameters.Builder.getMaxLpSolveForFeasibilityProblems ( )
The maximum number of time the LP solver will run to feasibility for pure
feasibility problems (with a constant-valued objective function). Set this
to a small value, e.g., 1, if fractional solutions offer useful guidance to
other solvers in the portfolio. A negative value means no limit.

optional int32 max_lp_solve_for_feasibility_problems = 41 [default = 0];

Returns
The maxLpSolveForFeasibilityProblems.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 5503 of file BopParameters.java.

◆ getMaxNumberOfBacktracksInLs()

long com.google.ortools.bop.BopParameters.Builder.getMaxNumberOfBacktracksInLs ( )
Maximum number of backtracks times the number of variables in Local Search,
ie. max num backtracks == max_number_of_backtracks_in_ls / num variables.

optional int64 max_number_of_backtracks_in_ls = 11 [default = 100000000];

Returns
The maxNumberOfBacktracksInLs.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3915 of file BopParameters.java.

◆ getMaxNumberOfConflictsForQuickCheck()

int com.google.ortools.bop.BopParameters.Builder.getMaxNumberOfConflictsForQuickCheck ( )
The number of conflicts the SAT solver has to solve a random LNS
subproblem for the quick check of infeasibility.

optional int32 max_number_of_conflicts_for_quick_check = 16 [default = 10];

Returns
The maxNumberOfConflictsForQuickCheck.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4087 of file BopParameters.java.

◆ getMaxNumberOfConflictsInRandomLns()

int com.google.ortools.bop.BopParameters.Builder.getMaxNumberOfConflictsInRandomLns ( )
The number of conflicts the SAT solver has to solve a random LNS
subproblem.

optional int32 max_number_of_conflicts_in_random_lns = 9 [default = 2500];

Returns
The maxNumberOfConflictsInRandomLns.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3799 of file BopParameters.java.

◆ getMaxNumberOfConflictsInRandomSolutionGeneration()

int com.google.ortools.bop.BopParameters.Builder.getMaxNumberOfConflictsInRandomSolutionGeneration ( )
The number of conflicts the SAT solver has to generate a random solution.

optional int32 max_number_of_conflicts_in_random_solution_generation = 20 [default = 500];

Returns
The maxNumberOfConflictsInRandomSolutionGeneration.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4289 of file BopParameters.java.

◆ getMaxNumberOfConsecutiveFailingOptimizerCalls()

int com.google.ortools.bop.BopParameters.Builder.getMaxNumberOfConsecutiveFailingOptimizerCalls ( )
Maximum number of consecutive optimizer calls without improving the
current solution. If this number is reached, the search will be aborted.
Note that this parameter only applies when an initial solution has been
found or is provided. Also note that there is no limit to the number of
calls, when the parameter is not set.

optional int32 max_number_of_consecutive_failing_optimizer_calls = 35;

Returns
The maxNumberOfConsecutiveFailingOptimizerCalls.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3125 of file BopParameters.java.

◆ getMaxNumberOfExploredAssignmentsPerTryInLs()

long com.google.ortools.bop.BopParameters.Builder.getMaxNumberOfExploredAssignmentsPerTryInLs ( )
The maximum number of assignments the Local Search iterates on during one
try. Note that if the Local Search is called again on the same solution
it will not restart from scratch but will iterate on the next
max_number_of_explored_assignments_per_try_in_ls assignments.

optional int64 max_number_of_explored_assignments_per_try_in_ls = 21 [default = 10000];

Returns
The maxNumberOfExploredAssignmentsPerTryInLs.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4351 of file BopParameters.java.

◆ getMaxNumBrokenConstraintsInLs()

int com.google.ortools.bop.BopParameters.Builder.getMaxNumBrokenConstraintsInLs ( )
Abort the LS search tree as soon as strictly more than this number of
constraints are broken. The default is a large value which basically
disable this heuristic.

optional int32 max_num_broken_constraints_in_ls = 38 [default = 2147483647];

Returns
The maxNumBrokenConstraintsInLs.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3325 of file BopParameters.java.

◆ getMaxNumDecisionsInLs()

int com.google.ortools.bop.BopParameters.Builder.getMaxNumDecisionsInLs ( )
Maximum number of cascading decisions the solver might use to repair the
current solution in the LS.

optional int32 max_num_decisions_in_ls = 2 [default = 4];

Returns
The maxNumDecisionsInLs.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3263 of file BopParameters.java.

◆ getMaxTimeInSeconds()

double com.google.ortools.bop.BopParameters.Builder.getMaxTimeInSeconds ( )
Maximum time allowed in seconds to solve a problem.
The counter will starts as soon as Solve() is called.

optional double max_time_in_seconds = 1 [default = inf];

Returns
The maxTimeInSeconds.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 2923 of file BopParameters.java.

◆ getNumberOfSolvers()

int com.google.ortools.bop.BopParameters.Builder.getNumberOfSolvers ( )
The number of solvers used to run Bop. Note that one thread will be created
per solver. The type of communication between solvers is specified by the
synchronization_type parameter.

optional int32 number_of_solvers = 24 [default = 1];

Returns
The numberOfSolvers.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4605 of file BopParameters.java.

◆ getNumBopSolversUsedByDecomposition()

int com.google.ortools.bop.BopParameters.Builder.getNumBopSolversUsedByDecomposition ( )
The number of BopSolver created (thread pool workers) used by the integral
solver to solve a decomposed problem.
TODO(user): Merge this with the number_of_solvers parameter.

optional int32 num_bop_solvers_used_by_decomposition = 31 [default = 1];

Returns
The numBopSolversUsedByDecomposition.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 5305 of file BopParameters.java.

◆ getNumRandomLnsTries()

int com.google.ortools.bop.BopParameters.Builder.getNumRandomLnsTries ( )
Number of tries in the random lns.

optional int32 num_random_lns_tries = 10 [default = 1];

Returns
The numRandomLnsTries.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3857 of file BopParameters.java.

◆ getNumRelaxedVars()

int com.google.ortools.bop.BopParameters.Builder.getNumRelaxedVars ( )
Number of variables to relax in the exhaustive Large Neighborhood Search.

optional int32 num_relaxed_vars = 8 [default = 10];

Returns
The numRelaxedVars.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3741 of file BopParameters.java.

◆ getPruneSearchTree()

boolean com.google.ortools.bop.BopParameters.Builder.getPruneSearchTree ( )
Avoid exploring both branches (b, a, ...) and (a, b, ...).

optional bool prune_search_tree = 4 [default = false];

Returns
The pruneSearchTree.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3497 of file BopParameters.java.

◆ getRandomSeed()

int com.google.ortools.bop.BopParameters.Builder.getRandomSeed ( )
The seed used to initialize the random generator.

TODO(user): Some of our client test fail depending on this value! we need
to fix them and ideally randomize our behavior from on test to the next so
that this doesn't happen in the future.

optional int32 random_seed = 7 [default = 8];

Returns
The randomSeed.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3677 of file BopParameters.java.

◆ getRelativeGapLimit()

double com.google.ortools.bop.BopParameters.Builder.getRelativeGapLimit ( )
Limit used to stop the optimization as soon as the relative gap is smaller
than the given value.
The relative gap is defined as:
abs(solution_cost - best_bound)
/ max(abs(solution_cost), abs(best_bound)).

optional double relative_gap_limit = 28 [default = 0.0001];

Returns
The relativeGapLimit.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3197 of file BopParameters.java.

◆ getSolverOptimizerSets()

com.google.ortools.bop.BopSolverOptimizerSet com.google.ortools.bop.BopParameters.Builder.getSolverOptimizerSets ( int index)
List of set of optimizers to be run by the solvers.
Note that the i_th solver will run the
min(i, solver_optimizer_sets_size())_th optimizer set.
The default is defined by default_solver_optimizer_sets (only one set).

repeated .operations_research.bop.BopSolverOptimizerSet solver_optimizer_sets = 26;

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4741 of file BopParameters.java.

◆ getSolverOptimizerSetsBuilder()

com.google.ortools.bop.BopSolverOptimizerSet.Builder com.google.ortools.bop.BopParameters.Builder.getSolverOptimizerSetsBuilder ( int index)
List of set of optimizers to be run by the solvers.
Note that the i_th solver will run the
min(i, solver_optimizer_sets_size())_th optimizer set.
The default is defined by default_solver_optimizer_sets (only one set).

repeated .operations_research.bop.BopSolverOptimizerSet solver_optimizer_sets = 26;

Definition at line 4954 of file BopParameters.java.

◆ getSolverOptimizerSetsBuilderList()

java.util.List< com.google.ortools.bop.BopSolverOptimizerSet.Builder > com.google.ortools.bop.BopParameters.Builder.getSolverOptimizerSetsBuilderList ( )
List of set of optimizers to be run by the solvers.
Note that the i_th solver will run the
min(i, solver_optimizer_sets_size())_th optimizer set.
The default is defined by default_solver_optimizer_sets (only one set).

repeated .operations_research.bop.BopSolverOptimizerSet solver_optimizer_sets = 26;

Definition at line 5033 of file BopParameters.java.

◆ getSolverOptimizerSetsCount()

int com.google.ortools.bop.BopParameters.Builder.getSolverOptimizerSetsCount ( )
List of set of optimizers to be run by the solvers.
Note that the i_th solver will run the
min(i, solver_optimizer_sets_size())_th optimizer set.
The default is defined by default_solver_optimizer_sets (only one set).

repeated .operations_research.bop.BopSolverOptimizerSet solver_optimizer_sets = 26;

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4724 of file BopParameters.java.

◆ getSolverOptimizerSetsList()

java.util.List< com.google.ortools.bop.BopSolverOptimizerSet > com.google.ortools.bop.BopParameters.Builder.getSolverOptimizerSetsList ( )
List of set of optimizers to be run by the solvers.
Note that the i_th solver will run the
min(i, solver_optimizer_sets_size())_th optimizer set.
The default is defined by default_solver_optimizer_sets (only one set).

repeated .operations_research.bop.BopSolverOptimizerSet solver_optimizer_sets = 26;

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4707 of file BopParameters.java.

◆ getSolverOptimizerSetsOrBuilder()

com.google.ortools.bop.BopSolverOptimizerSetOrBuilder com.google.ortools.bop.BopParameters.Builder.getSolverOptimizerSetsOrBuilder ( int index)
List of set of optimizers to be run by the solvers.
Note that the i_th solver will run the
min(i, solver_optimizer_sets_size())_th optimizer set.
The default is defined by default_solver_optimizer_sets (only one set).

repeated .operations_research.bop.BopSolverOptimizerSet solver_optimizer_sets = 26;

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4968 of file BopParameters.java.

◆ getSolverOptimizerSetsOrBuilderList()

java.util.List<? extends com.google.ortools.bop.BopSolverOptimizerSetOrBuilder > com.google.ortools.bop.BopParameters.Builder.getSolverOptimizerSetsOrBuilderList ( )
List of set of optimizers to be run by the solvers.
Note that the i_th solver will run the
min(i, solver_optimizer_sets_size())_th optimizer set.
The default is defined by default_solver_optimizer_sets (only one set).

repeated .operations_research.bop.BopSolverOptimizerSet solver_optimizer_sets = 26;

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4986 of file BopParameters.java.

◆ getSortConstraintsByNumTerms()

boolean com.google.ortools.bop.BopParameters.Builder.getSortConstraintsByNumTerms ( )
Sort constraints by increasing total number of terms instead of number of
contributing terms.

optional bool sort_constraints_by_num_terms = 5 [default = false];

Returns
The sortConstraintsByNumTerms.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3555 of file BopParameters.java.

◆ getSynchronizationType()

com.google.ortools.bop.BopParameters.ThreadSynchronizationType com.google.ortools.bop.BopParameters.Builder.getSynchronizationType ( )

optional .operations_research.bop.BopParameters.ThreadSynchronizationType synchronization_type = 25 [default = NO_SYNCHRONIZATION];

Returns
The synchronizationType.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4656 of file BopParameters.java.

◆ getUseLearnedBinaryClausesInLp()

boolean com.google.ortools.bop.BopParameters.Builder.getUseLearnedBinaryClausesInLp ( )
Whether we use the learned binary clauses in the Linear Relaxation.

optional bool use_learned_binary_clauses_in_lp = 23 [default = true];

Returns
The useLearnedBinaryClausesInLp.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4545 of file BopParameters.java.

◆ getUseLpLns()

boolean com.google.ortools.bop.BopParameters.Builder.getUseLpLns ( )
Use Large Neighborhood Search based on the LP relaxation.

optional bool use_lp_lns = 12 [default = true];

Returns
The useLpLns.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3973 of file BopParameters.java.

◆ getUseLpStrongBranching()

boolean com.google.ortools.bop.BopParameters.Builder.getUseLpStrongBranching ( )
Use strong branching in the linear relaxation optimizer.
The strong branching is a what-if analysis on each variable v, i.e.
compute the best bound when v is assigned to true, compute the best bound
when v is assigned to false, and then use those best bounds to improve the
overall best bound.
This is useful to improve the best_bound, but also to fix some variables
during search.
Note that using probing might be time consuming as it runs the LP solver
2 * num_variables times.

optional bool use_lp_strong_branching = 29 [default = false];

Returns
The useLpStrongBranching.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 5169 of file BopParameters.java.

◆ getUsePotentialOneFlipRepairsInLs()

boolean com.google.ortools.bop.BopParameters.Builder.getUsePotentialOneFlipRepairsInLs ( )
Whether we keep a list of variable that can potentially repair in one flip
all the current infeasible constraints (such variable must at least appear
in all the infeasible constraints for this to happen).

optional bool use_potential_one_flip_repairs_in_ls = 39 [default = false];

Returns
The usePotentialOneFlipRepairsInLs.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4485 of file BopParameters.java.

◆ getUseRandomLns()

boolean com.google.ortools.bop.BopParameters.Builder.getUseRandomLns ( )
Use the random Large Neighborhood Search instead of the exhaustive one.

optional bool use_random_lns = 6 [default = true];

Returns
The useRandomLns.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3613 of file BopParameters.java.

◆ getUseSatToChooseLnsNeighbourhood()

boolean com.google.ortools.bop.BopParameters.Builder.getUseSatToChooseLnsNeighbourhood ( )
Whether we use sat propagation to choose the lns neighbourhood.

optional bool use_sat_to_choose_lns_neighbourhood = 15 [default = true];

Returns
The useSatToChooseLnsNeighbourhood.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4029 of file BopParameters.java.

◆ getUseSymmetry()

boolean com.google.ortools.bop.BopParameters.Builder.getUseSymmetry ( )
If true, find and exploit the eventual symmetries of the problem.

TODO(user): turn this on by default once the symmetry finder becomes fast
enough to be negligeable for most problem. Or at least support a time
limit.

optional bool use_symmetry = 17 [default = false];

Returns
The useSymmetry.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4153 of file BopParameters.java.

◆ getUseTranspositionTableInLs()

boolean com.google.ortools.bop.BopParameters.Builder.getUseTranspositionTableInLs ( )
Whether we use an hash set during the LS to avoid exploring more than once
the "same" state. Note that because the underlying SAT solver may learn
information in the middle of the LS, this may make the LS slightly less
"complete", but it should be faster.

optional bool use_transposition_table_in_ls = 22 [default = true];

Returns
The useTranspositionTableInLs.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4419 of file BopParameters.java.

◆ hasComputeEstimatedImpact()

boolean com.google.ortools.bop.BopParameters.Builder.hasComputeEstimatedImpact ( )
Compute estimated impact at each iteration when true; only once when false.

optional bool compute_estimated_impact = 3 [default = true];

Returns
Whether the computeEstimatedImpact field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3429 of file BopParameters.java.

◆ hasDecomposedProblemMinTimeInSeconds()

boolean com.google.ortools.bop.BopParameters.Builder.hasDecomposedProblemMinTimeInSeconds ( )
HACK. To avoid spending too little time on small problems, spend at least
this time solving each of the decomposed sub-problem. This only make sense
if num_bop_solvers_used_by_decomposition is greater than 1 so that the
overhead can be "absorbed" by the other threads.

optional double decomposed_problem_min_time_in_seconds = 36 [default = 0];

Returns
Whether the decomposedProblemMinTimeInSeconds field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 5356 of file BopParameters.java.

◆ hasDecomposerNumVariablesThreshold()

boolean com.google.ortools.bop.BopParameters.Builder.hasDecomposerNumVariablesThreshold ( )
Only try to decompose the problem when the number of variables is greater
than the threshold.

optional int32 decomposer_num_variables_threshold = 30 [default = 50];

Returns
Whether the decomposerNumVariablesThreshold field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 5230 of file BopParameters.java.

◆ hasDefaultSolverOptimizerSets()

boolean com.google.ortools.bop.BopParameters.Builder.hasDefaultSolverOptimizerSets ( )

optional string default_solver_optimizer_sets = 33 [default = "methods:{type:LOCAL_SEARCH } methods:{type:RANDOM_FIRST_SOLUTION } methods:{type:LINEAR_RELAXATION } methods:{type:LP_FIRST_SOLUTION } methods:{type:OBJECTIVE_FIRST_SOLUTION } methods:{type:USER_GUIDED_FIRST_SOLUTION } methods:{type:RANDOM_CONSTRAINT_LNS_GUIDED_BY_LP } methods:{type:RANDOM_VARIABLE_LNS_GUIDED_BY_LP } methods:{type:RELATION_GRAPH_LNS } methods:{type:RELATION_GRAPH_LNS_GUIDED_BY_LP } methods:{type:RANDOM_CONSTRAINT_LNS } methods:{type:RANDOM_VARIABLE_LNS } methods:{type:SAT_CORE_BASED } methods:{type:COMPLETE_LNS } "];

Returns
Whether the defaultSolverOptimizerSets field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 5056 of file BopParameters.java.

◆ hasExploitSymmetryInSatFirstSolution()

boolean com.google.ortools.bop.BopParameters.Builder.hasExploitSymmetryInSatFirstSolution ( )
If true, find and exploit symmetries in proving satisfiability in the first
problem.
This feature is experimental. On some problems, computing symmetries may
run forever. You may also run into unforseen problems as this feature was
not extensively tested.

optional bool exploit_symmetry_in_sat_first_solution = 40 [default = false];

Returns
Whether the exploitSymmetryInSatFirstSolution field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4209 of file BopParameters.java.

◆ hasGuidedSatConflictsChunk()

boolean com.google.ortools.bop.BopParameters.Builder.hasGuidedSatConflictsChunk ( )
The first solutions based on guided SAT will work in chunk of that many
conflicts at the time. This allows to simulate parallelism between the
different guiding strategy on a single core.

optional int32 guided_sat_conflicts_chunk = 34 [default = 1000];

Returns
Whether the guidedSatConflictsChunk field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 5423 of file BopParameters.java.

◆ hasLogSearchProgress()

boolean com.google.ortools.bop.BopParameters.Builder.hasLogSearchProgress ( )
Whether the solver should log the search progress to LOG(INFO).

optional bool log_search_progress = 14 [default = false];

Returns
Whether the logSearchProgress field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3373 of file BopParameters.java.

◆ hasLpMaxDeterministicTime()

boolean com.google.ortools.bop.BopParameters.Builder.hasLpMaxDeterministicTime ( )
The max deterministic time given to the LP solver each time it is called.
If this is not enough to solve the LP at hand, it will simply be called
again later (and the solve will resume from where it stopped).

optional double lp_max_deterministic_time = 37 [default = 1];

Returns
Whether the lpMaxDeterministicTime field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3043 of file BopParameters.java.

◆ hasMaxDeterministicTime()

boolean com.google.ortools.bop.BopParameters.Builder.hasMaxDeterministicTime ( )
Maximum time allowed in deterministic time to solve a problem.
The deterministic time should be correlated with the real time used by the
solver, the time unit being roughly the order of magnitude of a second.
The counter will starts as soon as SetParameters() or SolveWithTimeLimit()
is called.

optional double max_deterministic_time = 27 [default = inf];

Returns
Whether the maxDeterministicTime field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 2973 of file BopParameters.java.

◆ hasMaxLpSolveForFeasibilityProblems()

boolean com.google.ortools.bop.BopParameters.Builder.hasMaxLpSolveForFeasibilityProblems ( )
The maximum number of time the LP solver will run to feasibility for pure
feasibility problems (with a constant-valued objective function). Set this
to a small value, e.g., 1, if fractional solutions offer useful guidance to
other solvers in the portfolio. A negative value means no limit.

optional int32 max_lp_solve_for_feasibility_problems = 41 [default = 0];

Returns
Whether the maxLpSolveForFeasibilityProblems field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 5488 of file BopParameters.java.

◆ hasMaxNumberOfBacktracksInLs()

boolean com.google.ortools.bop.BopParameters.Builder.hasMaxNumberOfBacktracksInLs ( )
Maximum number of backtracks times the number of variables in Local Search,
ie. max num backtracks == max_number_of_backtracks_in_ls / num variables.

optional int64 max_number_of_backtracks_in_ls = 11 [default = 100000000];

Returns
Whether the maxNumberOfBacktracksInLs field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3902 of file BopParameters.java.

◆ hasMaxNumberOfConflictsForQuickCheck()

boolean com.google.ortools.bop.BopParameters.Builder.hasMaxNumberOfConflictsForQuickCheck ( )
The number of conflicts the SAT solver has to solve a random LNS
subproblem for the quick check of infeasibility.

optional int32 max_number_of_conflicts_for_quick_check = 16 [default = 10];

Returns
Whether the maxNumberOfConflictsForQuickCheck field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4074 of file BopParameters.java.

◆ hasMaxNumberOfConflictsInRandomLns()

boolean com.google.ortools.bop.BopParameters.Builder.hasMaxNumberOfConflictsInRandomLns ( )
The number of conflicts the SAT solver has to solve a random LNS
subproblem.

optional int32 max_number_of_conflicts_in_random_lns = 9 [default = 2500];

Returns
Whether the maxNumberOfConflictsInRandomLns field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3786 of file BopParameters.java.

◆ hasMaxNumberOfConflictsInRandomSolutionGeneration()

boolean com.google.ortools.bop.BopParameters.Builder.hasMaxNumberOfConflictsInRandomSolutionGeneration ( )
The number of conflicts the SAT solver has to generate a random solution.

optional int32 max_number_of_conflicts_in_random_solution_generation = 20 [default = 500];

Returns
Whether the maxNumberOfConflictsInRandomSolutionGeneration field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4277 of file BopParameters.java.

◆ hasMaxNumberOfConsecutiveFailingOptimizerCalls()

boolean com.google.ortools.bop.BopParameters.Builder.hasMaxNumberOfConsecutiveFailingOptimizerCalls ( )
Maximum number of consecutive optimizer calls without improving the
current solution. If this number is reached, the search will be aborted.
Note that this parameter only applies when an initial solution has been
found or is provided. Also note that there is no limit to the number of
calls, when the parameter is not set.

optional int32 max_number_of_consecutive_failing_optimizer_calls = 35;

Returns
Whether the maxNumberOfConsecutiveFailingOptimizerCalls field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3109 of file BopParameters.java.

◆ hasMaxNumberOfExploredAssignmentsPerTryInLs()

boolean com.google.ortools.bop.BopParameters.Builder.hasMaxNumberOfExploredAssignmentsPerTryInLs ( )
The maximum number of assignments the Local Search iterates on during one
try. Note that if the Local Search is called again on the same solution
it will not restart from scratch but will iterate on the next
max_number_of_explored_assignments_per_try_in_ls assignments.

optional int64 max_number_of_explored_assignments_per_try_in_ls = 21 [default = 10000];

Returns
Whether the maxNumberOfExploredAssignmentsPerTryInLs field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4336 of file BopParameters.java.

◆ hasMaxNumBrokenConstraintsInLs()

boolean com.google.ortools.bop.BopParameters.Builder.hasMaxNumBrokenConstraintsInLs ( )
Abort the LS search tree as soon as strictly more than this number of
constraints are broken. The default is a large value which basically
disable this heuristic.

optional int32 max_num_broken_constraints_in_ls = 38 [default = 2147483647];

Returns
Whether the maxNumBrokenConstraintsInLs field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3311 of file BopParameters.java.

◆ hasMaxNumDecisionsInLs()

boolean com.google.ortools.bop.BopParameters.Builder.hasMaxNumDecisionsInLs ( )
Maximum number of cascading decisions the solver might use to repair the
current solution in the LS.

optional int32 max_num_decisions_in_ls = 2 [default = 4];

Returns
Whether the maxNumDecisionsInLs field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3250 of file BopParameters.java.

◆ hasMaxTimeInSeconds()

boolean com.google.ortools.bop.BopParameters.Builder.hasMaxTimeInSeconds ( )
Maximum time allowed in seconds to solve a problem.
The counter will starts as soon as Solve() is called.

optional double max_time_in_seconds = 1 [default = inf];

Returns
Whether the maxTimeInSeconds field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 2910 of file BopParameters.java.

◆ hasNumberOfSolvers()

boolean com.google.ortools.bop.BopParameters.Builder.hasNumberOfSolvers ( )
The number of solvers used to run Bop. Note that one thread will be created
per solver. The type of communication between solvers is specified by the
synchronization_type parameter.

optional int32 number_of_solvers = 24 [default = 1];

Returns
Whether the numberOfSolvers field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4591 of file BopParameters.java.

◆ hasNumBopSolversUsedByDecomposition()

boolean com.google.ortools.bop.BopParameters.Builder.hasNumBopSolversUsedByDecomposition ( )
The number of BopSolver created (thread pool workers) used by the integral
solver to solve a decomposed problem.
TODO(user): Merge this with the number_of_solvers parameter.

optional int32 num_bop_solvers_used_by_decomposition = 31 [default = 1];

Returns
Whether the numBopSolversUsedByDecomposition field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 5291 of file BopParameters.java.

◆ hasNumRandomLnsTries()

boolean com.google.ortools.bop.BopParameters.Builder.hasNumRandomLnsTries ( )
Number of tries in the random lns.

optional int32 num_random_lns_tries = 10 [default = 1];

Returns
Whether the numRandomLnsTries field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3845 of file BopParameters.java.

◆ hasNumRelaxedVars()

boolean com.google.ortools.bop.BopParameters.Builder.hasNumRelaxedVars ( )
Number of variables to relax in the exhaustive Large Neighborhood Search.

optional int32 num_relaxed_vars = 8 [default = 10];

Returns
Whether the numRelaxedVars field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3729 of file BopParameters.java.

◆ hasPruneSearchTree()

boolean com.google.ortools.bop.BopParameters.Builder.hasPruneSearchTree ( )
Avoid exploring both branches (b, a, ...) and (a, b, ...).

optional bool prune_search_tree = 4 [default = false];

Returns
Whether the pruneSearchTree field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3485 of file BopParameters.java.

◆ hasRandomSeed()

boolean com.google.ortools.bop.BopParameters.Builder.hasRandomSeed ( )
The seed used to initialize the random generator.

TODO(user): Some of our client test fail depending on this value! we need
to fix them and ideally randomize our behavior from on test to the next so
that this doesn't happen in the future.

optional int32 random_seed = 7 [default = 8];

Returns
Whether the randomSeed field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3661 of file BopParameters.java.

◆ hasRelativeGapLimit()

boolean com.google.ortools.bop.BopParameters.Builder.hasRelativeGapLimit ( )
Limit used to stop the optimization as soon as the relative gap is smaller
than the given value.
The relative gap is defined as:
abs(solution_cost - best_bound)
/ max(abs(solution_cost), abs(best_bound)).

optional double relative_gap_limit = 28 [default = 0.0001];

Returns
Whether the relativeGapLimit field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3181 of file BopParameters.java.

◆ hasSortConstraintsByNumTerms()

boolean com.google.ortools.bop.BopParameters.Builder.hasSortConstraintsByNumTerms ( )
Sort constraints by increasing total number of terms instead of number of
contributing terms.

optional bool sort_constraints_by_num_terms = 5 [default = false];

Returns
Whether the sortConstraintsByNumTerms field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3542 of file BopParameters.java.

◆ hasSynchronizationType()

boolean com.google.ortools.bop.BopParameters.Builder.hasSynchronizationType ( )

optional .operations_research.bop.BopParameters.ThreadSynchronizationType synchronization_type = 25 [default = NO_SYNCHRONIZATION];

Returns
Whether the synchronizationType field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4648 of file BopParameters.java.

◆ hasUseLearnedBinaryClausesInLp()

boolean com.google.ortools.bop.BopParameters.Builder.hasUseLearnedBinaryClausesInLp ( )
Whether we use the learned binary clauses in the Linear Relaxation.

optional bool use_learned_binary_clauses_in_lp = 23 [default = true];

Returns
Whether the useLearnedBinaryClausesInLp field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4533 of file BopParameters.java.

◆ hasUseLpLns()

boolean com.google.ortools.bop.BopParameters.Builder.hasUseLpLns ( )
Use Large Neighborhood Search based on the LP relaxation.

optional bool use_lp_lns = 12 [default = true];

Returns
Whether the useLpLns field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3961 of file BopParameters.java.

◆ hasUseLpStrongBranching()

boolean com.google.ortools.bop.BopParameters.Builder.hasUseLpStrongBranching ( )
Use strong branching in the linear relaxation optimizer.
The strong branching is a what-if analysis on each variable v, i.e.
compute the best bound when v is assigned to true, compute the best bound
when v is assigned to false, and then use those best bounds to improve the
overall best bound.
This is useful to improve the best_bound, but also to fix some variables
during search.
Note that using probing might be time consuming as it runs the LP solver
2 * num_variables times.

optional bool use_lp_strong_branching = 29 [default = false];

Returns
Whether the useLpStrongBranching field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 5149 of file BopParameters.java.

◆ hasUsePotentialOneFlipRepairsInLs()

boolean com.google.ortools.bop.BopParameters.Builder.hasUsePotentialOneFlipRepairsInLs ( )
Whether we keep a list of variable that can potentially repair in one flip
all the current infeasible constraints (such variable must at least appear
in all the infeasible constraints for this to happen).

optional bool use_potential_one_flip_repairs_in_ls = 39 [default = false];

Returns
Whether the usePotentialOneFlipRepairsInLs field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4471 of file BopParameters.java.

◆ hasUseRandomLns()

boolean com.google.ortools.bop.BopParameters.Builder.hasUseRandomLns ( )
Use the random Large Neighborhood Search instead of the exhaustive one.

optional bool use_random_lns = 6 [default = true];

Returns
Whether the useRandomLns field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 3601 of file BopParameters.java.

◆ hasUseSatToChooseLnsNeighbourhood()

boolean com.google.ortools.bop.BopParameters.Builder.hasUseSatToChooseLnsNeighbourhood ( )
Whether we use sat propagation to choose the lns neighbourhood.

optional bool use_sat_to_choose_lns_neighbourhood = 15 [default = true];

Returns
Whether the useSatToChooseLnsNeighbourhood field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4017 of file BopParameters.java.

◆ hasUseSymmetry()

boolean com.google.ortools.bop.BopParameters.Builder.hasUseSymmetry ( )
If true, find and exploit the eventual symmetries of the problem.

TODO(user): turn this on by default once the symmetry finder becomes fast
enough to be negligeable for most problem. Or at least support a time
limit.

optional bool use_symmetry = 17 [default = false];

Returns
Whether the useSymmetry field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4137 of file BopParameters.java.

◆ hasUseTranspositionTableInLs()

boolean com.google.ortools.bop.BopParameters.Builder.hasUseTranspositionTableInLs ( )
Whether we use an hash set during the LS to avoid exploring more than once
the "same" state. Note that because the underlying SAT solver may learn
information in the middle of the LS, this may make the LS slightly less
"complete", but it should be faster.

optional bool use_transposition_table_in_ls = 22 [default = true];

Returns
Whether the useTranspositionTableInLs field is set.

Implements com.google.ortools.bop.BopParametersOrBuilder.

Definition at line 4404 of file BopParameters.java.

◆ internalGetFieldAccessorTable()

com.google.protobuf.GeneratedMessage.FieldAccessorTable com.google.ortools.bop.BopParameters.Builder.internalGetFieldAccessorTable ( )
protected

Definition at line 2240 of file BopParameters.java.

◆ isInitialized()

final boolean com.google.ortools.bop.BopParameters.Builder.isInitialized ( )

Definition at line 2661 of file BopParameters.java.

◆ mergeFrom() [1/3]

Builder com.google.ortools.bop.BopParameters.Builder.mergeFrom ( com.google.ortools.bop.BopParameters other)

Definition at line 2517 of file BopParameters.java.

◆ mergeFrom() [2/3]

Builder com.google.ortools.bop.BopParameters.Builder.mergeFrom ( com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry ) throws java.io.IOException

Definition at line 2666 of file BopParameters.java.

◆ mergeFrom() [3/3]

Builder com.google.ortools.bop.BopParameters.Builder.mergeFrom ( com.google.protobuf.Message other)

Definition at line 2508 of file BopParameters.java.

◆ removeSolverOptimizerSets()

Builder com.google.ortools.bop.BopParameters.Builder.removeSolverOptimizerSets ( int index)
List of set of optimizers to be run by the solvers.
Note that the i_th solver will run the
min(i, solver_optimizer_sets_size())_th optimizer set.
The default is defined by default_solver_optimizer_sets (only one set).

repeated .operations_research.bop.BopSolverOptimizerSet solver_optimizer_sets = 26;

Definition at line 4934 of file BopParameters.java.

◆ setComputeEstimatedImpact()

Builder com.google.ortools.bop.BopParameters.Builder.setComputeEstimatedImpact ( boolean value)
Compute estimated impact at each iteration when true; only once when false.

optional bool compute_estimated_impact = 3 [default = true];

Parameters
valueThe computeEstimatedImpact to set.
Returns
This builder for chaining.

Definition at line 3453 of file BopParameters.java.

◆ setDecomposedProblemMinTimeInSeconds()

Builder com.google.ortools.bop.BopParameters.Builder.setDecomposedProblemMinTimeInSeconds ( double value)
HACK. To avoid spending too little time on small problems, spend at least
this time solving each of the decomposed sub-problem. This only make sense
if num_bop_solvers_used_by_decomposition is greater than 1 so that the
overhead can be "absorbed" by the other threads.

optional double decomposed_problem_min_time_in_seconds = 36 [default = 0];

Parameters
valueThe decomposedProblemMinTimeInSeconds to set.
Returns
This builder for chaining.

Definition at line 5386 of file BopParameters.java.

◆ setDecomposerNumVariablesThreshold()

Builder com.google.ortools.bop.BopParameters.Builder.setDecomposerNumVariablesThreshold ( int value)
Only try to decompose the problem when the number of variables is greater
than the threshold.

optional int32 decomposer_num_variables_threshold = 30 [default = 50];

Parameters
valueThe decomposerNumVariablesThreshold to set.
Returns
This builder for chaining.

Definition at line 5256 of file BopParameters.java.

◆ setDefaultSolverOptimizerSets()

Builder com.google.ortools.bop.BopParameters.Builder.setDefaultSolverOptimizerSets ( java.lang.String value)

optional string default_solver_optimizer_sets = 33 [default = "methods:{type:LOCAL_SEARCH } methods:{type:RANDOM_FIRST_SOLUTION } methods:{type:LINEAR_RELAXATION } methods:{type:LP_FIRST_SOLUTION } methods:{type:OBJECTIVE_FIRST_SOLUTION } methods:{type:USER_GUIDED_FIRST_SOLUTION } methods:{type:RANDOM_CONSTRAINT_LNS_GUIDED_BY_LP } methods:{type:RANDOM_VARIABLE_LNS_GUIDED_BY_LP } methods:{type:RELATION_GRAPH_LNS } methods:{type:RELATION_GRAPH_LNS_GUIDED_BY_LP } methods:{type:RANDOM_CONSTRAINT_LNS } methods:{type:RANDOM_VARIABLE_LNS } methods:{type:SAT_CORE_BASED } methods:{type:COMPLETE_LNS } "];

Parameters
valueThe defaultSolverOptimizerSets to set.
Returns
This builder for chaining.

Definition at line 5099 of file BopParameters.java.

◆ setDefaultSolverOptimizerSetsBytes()

Builder com.google.ortools.bop.BopParameters.Builder.setDefaultSolverOptimizerSetsBytes ( com.google.protobuf.ByteString value)

optional string default_solver_optimizer_sets = 33 [default = "methods:{type:LOCAL_SEARCH } methods:{type:RANDOM_FIRST_SOLUTION } methods:{type:LINEAR_RELAXATION } methods:{type:LP_FIRST_SOLUTION } methods:{type:OBJECTIVE_FIRST_SOLUTION } methods:{type:USER_GUIDED_FIRST_SOLUTION } methods:{type:RANDOM_CONSTRAINT_LNS_GUIDED_BY_LP } methods:{type:RANDOM_VARIABLE_LNS_GUIDED_BY_LP } methods:{type:RELATION_GRAPH_LNS } methods:{type:RELATION_GRAPH_LNS_GUIDED_BY_LP } methods:{type:RANDOM_CONSTRAINT_LNS } methods:{type:RANDOM_VARIABLE_LNS } methods:{type:SAT_CORE_BASED } methods:{type:COMPLETE_LNS } "];

Parameters
valueThe bytes for defaultSolverOptimizerSets to set.
Returns
This builder for chaining.

Definition at line 5122 of file BopParameters.java.

◆ setExploitSymmetryInSatFirstSolution()

Builder com.google.ortools.bop.BopParameters.Builder.setExploitSymmetryInSatFirstSolution ( boolean value)
If true, find and exploit symmetries in proving satisfiability in the first
problem.
This feature is experimental. On some problems, computing symmetries may
run forever. You may also run into unforseen problems as this feature was
not extensively tested.

optional bool exploit_symmetry_in_sat_first_solution = 40 [default = false];

Parameters
valueThe exploitSymmetryInSatFirstSolution to set.
Returns
This builder for chaining.

Definition at line 4241 of file BopParameters.java.

◆ setGuidedSatConflictsChunk()

Builder com.google.ortools.bop.BopParameters.Builder.setGuidedSatConflictsChunk ( int value)
The first solutions based on guided SAT will work in chunk of that many
conflicts at the time. This allows to simulate parallelism between the
different guiding strategy on a single core.

optional int32 guided_sat_conflicts_chunk = 34 [default = 1000];

Parameters
valueThe guidedSatConflictsChunk to set.
Returns
This builder for chaining.

Definition at line 5451 of file BopParameters.java.

◆ setLogSearchProgress()

Builder com.google.ortools.bop.BopParameters.Builder.setLogSearchProgress ( boolean value)
Whether the solver should log the search progress to LOG(INFO).

optional bool log_search_progress = 14 [default = false];

Parameters
valueThe logSearchProgress to set.
Returns
This builder for chaining.

Definition at line 3397 of file BopParameters.java.

◆ setLpMaxDeterministicTime()

Builder com.google.ortools.bop.BopParameters.Builder.setLpMaxDeterministicTime ( double value)
The max deterministic time given to the LP solver each time it is called.
If this is not enough to solve the LP at hand, it will simply be called
again later (and the solve will resume from where it stopped).

optional double lp_max_deterministic_time = 37 [default = 1];

Parameters
valueThe lpMaxDeterministicTime to set.
Returns
This builder for chaining.

Definition at line 3071 of file BopParameters.java.

◆ setMaxDeterministicTime()

Builder com.google.ortools.bop.BopParameters.Builder.setMaxDeterministicTime ( double value)
Maximum time allowed in deterministic time to solve a problem.
The deterministic time should be correlated with the real time used by the
solver, the time unit being roughly the order of magnitude of a second.
The counter will starts as soon as SetParameters() or SolveWithTimeLimit()
is called.

optional double max_deterministic_time = 27 [default = inf];

Parameters
valueThe maxDeterministicTime to set.
Returns
This builder for chaining.

Definition at line 3005 of file BopParameters.java.

◆ setMaxLpSolveForFeasibilityProblems()

Builder com.google.ortools.bop.BopParameters.Builder.setMaxLpSolveForFeasibilityProblems ( int value)
The maximum number of time the LP solver will run to feasibility for pure
feasibility problems (with a constant-valued objective function). Set this
to a small value, e.g., 1, if fractional solutions offer useful guidance to
other solvers in the portfolio. A negative value means no limit.

optional int32 max_lp_solve_for_feasibility_problems = 41 [default = 0];

Parameters
valueThe maxLpSolveForFeasibilityProblems to set.
Returns
This builder for chaining.

Definition at line 5518 of file BopParameters.java.

◆ setMaxNumberOfBacktracksInLs()

Builder com.google.ortools.bop.BopParameters.Builder.setMaxNumberOfBacktracksInLs ( long value)
Maximum number of backtracks times the number of variables in Local Search,
ie. max num backtracks == max_number_of_backtracks_in_ls / num variables.

optional int64 max_number_of_backtracks_in_ls = 11 [default = 100000000];

Parameters
valueThe maxNumberOfBacktracksInLs to set.
Returns
This builder for chaining.

Definition at line 3928 of file BopParameters.java.

◆ setMaxNumberOfConflictsForQuickCheck()

Builder com.google.ortools.bop.BopParameters.Builder.setMaxNumberOfConflictsForQuickCheck ( int value)
The number of conflicts the SAT solver has to solve a random LNS
subproblem for the quick check of infeasibility.

optional int32 max_number_of_conflicts_for_quick_check = 16 [default = 10];

Parameters
valueThe maxNumberOfConflictsForQuickCheck to set.
Returns
This builder for chaining.

Definition at line 4100 of file BopParameters.java.

◆ setMaxNumberOfConflictsInRandomLns()

Builder com.google.ortools.bop.BopParameters.Builder.setMaxNumberOfConflictsInRandomLns ( int value)
The number of conflicts the SAT solver has to solve a random LNS
subproblem.

optional int32 max_number_of_conflicts_in_random_lns = 9 [default = 2500];

Parameters
valueThe maxNumberOfConflictsInRandomLns to set.
Returns
This builder for chaining.

Definition at line 3812 of file BopParameters.java.

◆ setMaxNumberOfConflictsInRandomSolutionGeneration()

Builder com.google.ortools.bop.BopParameters.Builder.setMaxNumberOfConflictsInRandomSolutionGeneration ( int value)
The number of conflicts the SAT solver has to generate a random solution.

optional int32 max_number_of_conflicts_in_random_solution_generation = 20 [default = 500];

Parameters
valueThe maxNumberOfConflictsInRandomSolutionGeneration to set.
Returns
This builder for chaining.

Definition at line 4301 of file BopParameters.java.

◆ setMaxNumberOfConsecutiveFailingOptimizerCalls()

Builder com.google.ortools.bop.BopParameters.Builder.setMaxNumberOfConsecutiveFailingOptimizerCalls ( int value)
Maximum number of consecutive optimizer calls without improving the
current solution. If this number is reached, the search will be aborted.
Note that this parameter only applies when an initial solution has been
found or is provided. Also note that there is no limit to the number of
calls, when the parameter is not set.

optional int32 max_number_of_consecutive_failing_optimizer_calls = 35;

Parameters
valueThe maxNumberOfConsecutiveFailingOptimizerCalls to set.
Returns
This builder for chaining.

Definition at line 3141 of file BopParameters.java.

◆ setMaxNumberOfExploredAssignmentsPerTryInLs()

Builder com.google.ortools.bop.BopParameters.Builder.setMaxNumberOfExploredAssignmentsPerTryInLs ( long value)
The maximum number of assignments the Local Search iterates on during one
try. Note that if the Local Search is called again on the same solution
it will not restart from scratch but will iterate on the next
max_number_of_explored_assignments_per_try_in_ls assignments.

optional int64 max_number_of_explored_assignments_per_try_in_ls = 21 [default = 10000];

Parameters
valueThe maxNumberOfExploredAssignmentsPerTryInLs to set.
Returns
This builder for chaining.

Definition at line 4366 of file BopParameters.java.

◆ setMaxNumBrokenConstraintsInLs()

Builder com.google.ortools.bop.BopParameters.Builder.setMaxNumBrokenConstraintsInLs ( int value)
Abort the LS search tree as soon as strictly more than this number of
constraints are broken. The default is a large value which basically
disable this heuristic.

optional int32 max_num_broken_constraints_in_ls = 38 [default = 2147483647];

Parameters
valueThe maxNumBrokenConstraintsInLs to set.
Returns
This builder for chaining.

Definition at line 3339 of file BopParameters.java.

◆ setMaxNumDecisionsInLs()

Builder com.google.ortools.bop.BopParameters.Builder.setMaxNumDecisionsInLs ( int value)
Maximum number of cascading decisions the solver might use to repair the
current solution in the LS.

optional int32 max_num_decisions_in_ls = 2 [default = 4];

Parameters
valueThe maxNumDecisionsInLs to set.
Returns
This builder for chaining.

Definition at line 3276 of file BopParameters.java.

◆ setMaxTimeInSeconds()

Builder com.google.ortools.bop.BopParameters.Builder.setMaxTimeInSeconds ( double value)
Maximum time allowed in seconds to solve a problem.
The counter will starts as soon as Solve() is called.

optional double max_time_in_seconds = 1 [default = inf];

Parameters
valueThe maxTimeInSeconds to set.
Returns
This builder for chaining.

Definition at line 2936 of file BopParameters.java.

◆ setNumberOfSolvers()

Builder com.google.ortools.bop.BopParameters.Builder.setNumberOfSolvers ( int value)
The number of solvers used to run Bop. Note that one thread will be created
per solver. The type of communication between solvers is specified by the
synchronization_type parameter.

optional int32 number_of_solvers = 24 [default = 1];

Parameters
valueThe numberOfSolvers to set.
Returns
This builder for chaining.

Definition at line 4619 of file BopParameters.java.

◆ setNumBopSolversUsedByDecomposition()

Builder com.google.ortools.bop.BopParameters.Builder.setNumBopSolversUsedByDecomposition ( int value)
The number of BopSolver created (thread pool workers) used by the integral
solver to solve a decomposed problem.
TODO(user): Merge this with the number_of_solvers parameter.

optional int32 num_bop_solvers_used_by_decomposition = 31 [default = 1];

Parameters
valueThe numBopSolversUsedByDecomposition to set.
Returns
This builder for chaining.

Definition at line 5319 of file BopParameters.java.

◆ setNumRandomLnsTries()

Builder com.google.ortools.bop.BopParameters.Builder.setNumRandomLnsTries ( int value)
Number of tries in the random lns.

optional int32 num_random_lns_tries = 10 [default = 1];

Parameters
valueThe numRandomLnsTries to set.
Returns
This builder for chaining.

Definition at line 3869 of file BopParameters.java.

◆ setNumRelaxedVars()

Builder com.google.ortools.bop.BopParameters.Builder.setNumRelaxedVars ( int value)
Number of variables to relax in the exhaustive Large Neighborhood Search.

optional int32 num_relaxed_vars = 8 [default = 10];

Parameters
valueThe numRelaxedVars to set.
Returns
This builder for chaining.

Definition at line 3753 of file BopParameters.java.

◆ setPruneSearchTree()

Builder com.google.ortools.bop.BopParameters.Builder.setPruneSearchTree ( boolean value)
Avoid exploring both branches (b, a, ...) and (a, b, ...).

optional bool prune_search_tree = 4 [default = false];

Parameters
valueThe pruneSearchTree to set.
Returns
This builder for chaining.

Definition at line 3509 of file BopParameters.java.

◆ setRandomSeed()

Builder com.google.ortools.bop.BopParameters.Builder.setRandomSeed ( int value)
The seed used to initialize the random generator.

TODO(user): Some of our client test fail depending on this value! we need
to fix them and ideally randomize our behavior from on test to the next so
that this doesn't happen in the future.

optional int32 random_seed = 7 [default = 8];

Parameters
valueThe randomSeed to set.
Returns
This builder for chaining.

Definition at line 3693 of file BopParameters.java.

◆ setRelativeGapLimit()

Builder com.google.ortools.bop.BopParameters.Builder.setRelativeGapLimit ( double value)
Limit used to stop the optimization as soon as the relative gap is smaller
than the given value.
The relative gap is defined as:
abs(solution_cost - best_bound)
/ max(abs(solution_cost), abs(best_bound)).

optional double relative_gap_limit = 28 [default = 0.0001];

Parameters
valueThe relativeGapLimit to set.
Returns
This builder for chaining.

Definition at line 3213 of file BopParameters.java.

◆ setSolverOptimizerSets() [1/2]

Builder com.google.ortools.bop.BopParameters.Builder.setSolverOptimizerSets ( int index,
com.google.ortools.bop.BopSolverOptimizerSet value )
List of set of optimizers to be run by the solvers.
Note that the i_th solver will run the
min(i, solver_optimizer_sets_size())_th optimizer set.
The default is defined by default_solver_optimizer_sets (only one set).

repeated .operations_research.bop.BopSolverOptimizerSet solver_optimizer_sets = 26;

Definition at line 4758 of file BopParameters.java.

◆ setSolverOptimizerSets() [2/2]

Builder com.google.ortools.bop.BopParameters.Builder.setSolverOptimizerSets ( int index,
com.google.ortools.bop.BopSolverOptimizerSet.Builder builderForValue )
List of set of optimizers to be run by the solvers.
Note that the i_th solver will run the
min(i, solver_optimizer_sets_size())_th optimizer set.
The default is defined by default_solver_optimizer_sets (only one set).

repeated .operations_research.bop.BopSolverOptimizerSet solver_optimizer_sets = 26;

Definition at line 4782 of file BopParameters.java.

◆ setSortConstraintsByNumTerms()

Builder com.google.ortools.bop.BopParameters.Builder.setSortConstraintsByNumTerms ( boolean value)
Sort constraints by increasing total number of terms instead of number of
contributing terms.

optional bool sort_constraints_by_num_terms = 5 [default = false];

Parameters
valueThe sortConstraintsByNumTerms to set.
Returns
This builder for chaining.

Definition at line 3568 of file BopParameters.java.

◆ setSynchronizationType()

Builder com.google.ortools.bop.BopParameters.Builder.setSynchronizationType ( com.google.ortools.bop.BopParameters.ThreadSynchronizationType value)

optional .operations_research.bop.BopParameters.ThreadSynchronizationType synchronization_type = 25 [default = NO_SYNCHRONIZATION];

Parameters
valueThe synchronizationType to set.
Returns
This builder for chaining.

Definition at line 4665 of file BopParameters.java.

◆ setUseLearnedBinaryClausesInLp()

Builder com.google.ortools.bop.BopParameters.Builder.setUseLearnedBinaryClausesInLp ( boolean value)
Whether we use the learned binary clauses in the Linear Relaxation.

optional bool use_learned_binary_clauses_in_lp = 23 [default = true];

Parameters
valueThe useLearnedBinaryClausesInLp to set.
Returns
This builder for chaining.

Definition at line 4557 of file BopParameters.java.

◆ setUseLpLns()

Builder com.google.ortools.bop.BopParameters.Builder.setUseLpLns ( boolean value)
Use Large Neighborhood Search based on the LP relaxation.

optional bool use_lp_lns = 12 [default = true];

Parameters
valueThe useLpLns to set.
Returns
This builder for chaining.

Definition at line 3985 of file BopParameters.java.

◆ setUseLpStrongBranching()

Builder com.google.ortools.bop.BopParameters.Builder.setUseLpStrongBranching ( boolean value)
Use strong branching in the linear relaxation optimizer.
The strong branching is a what-if analysis on each variable v, i.e.
compute the best bound when v is assigned to true, compute the best bound
when v is assigned to false, and then use those best bounds to improve the
overall best bound.
This is useful to improve the best_bound, but also to fix some variables
during search.
Note that using probing might be time consuming as it runs the LP solver
2 * num_variables times.

optional bool use_lp_strong_branching = 29 [default = false];

Parameters
valueThe useLpStrongBranching to set.
Returns
This builder for chaining.

Definition at line 5189 of file BopParameters.java.

◆ setUsePotentialOneFlipRepairsInLs()

Builder com.google.ortools.bop.BopParameters.Builder.setUsePotentialOneFlipRepairsInLs ( boolean value)
Whether we keep a list of variable that can potentially repair in one flip
all the current infeasible constraints (such variable must at least appear
in all the infeasible constraints for this to happen).

optional bool use_potential_one_flip_repairs_in_ls = 39 [default = false];

Parameters
valueThe usePotentialOneFlipRepairsInLs to set.
Returns
This builder for chaining.

Definition at line 4499 of file BopParameters.java.

◆ setUseRandomLns()

Builder com.google.ortools.bop.BopParameters.Builder.setUseRandomLns ( boolean value)
Use the random Large Neighborhood Search instead of the exhaustive one.

optional bool use_random_lns = 6 [default = true];

Parameters
valueThe useRandomLns to set.
Returns
This builder for chaining.

Definition at line 3625 of file BopParameters.java.

◆ setUseSatToChooseLnsNeighbourhood()

Builder com.google.ortools.bop.BopParameters.Builder.setUseSatToChooseLnsNeighbourhood ( boolean value)
Whether we use sat propagation to choose the lns neighbourhood.

optional bool use_sat_to_choose_lns_neighbourhood = 15 [default = true];

Parameters
valueThe useSatToChooseLnsNeighbourhood to set.
Returns
This builder for chaining.

Definition at line 4041 of file BopParameters.java.

◆ setUseSymmetry()

Builder com.google.ortools.bop.BopParameters.Builder.setUseSymmetry ( boolean value)
If true, find and exploit the eventual symmetries of the problem.

TODO(user): turn this on by default once the symmetry finder becomes fast
enough to be negligeable for most problem. Or at least support a time
limit.

optional bool use_symmetry = 17 [default = false];

Parameters
valueThe useSymmetry to set.
Returns
This builder for chaining.

Definition at line 4169 of file BopParameters.java.

◆ setUseTranspositionTableInLs()

Builder com.google.ortools.bop.BopParameters.Builder.setUseTranspositionTableInLs ( boolean value)
Whether we use an hash set during the LS to avoid exploring more than once
the "same" state. Note that because the underlying SAT solver may learn
information in the middle of the LS, this may make the LS slightly less
"complete", but it should be faster.

optional bool use_transposition_table_in_ls = 22 [default = true];

Parameters
valueThe useTranspositionTableInLs to set.
Returns
This builder for chaining.

Definition at line 4434 of file BopParameters.java.


The documentation for this class was generated from the following file: