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Google OR-Tools v9.11
a fast and portable software suite for combinatorial optimization
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Google OR-Tools v9.11
a fast and portable software suite for combinatorial optimization
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Definition at line 7 of file BopParametersOrBuilder.java.
| boolean com.google.ortools.bop.BopParametersOrBuilder.getComputeEstimatedImpact | ( | ) |
Compute estimated impact at each iteration when true; only once when false.
optional bool compute_estimated_impact = 3 [default = true];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| double com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| int com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| java.lang.String com.google.ortools.bop.BopParametersOrBuilder.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 } "];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| com.google.protobuf.ByteString com.google.ortools.bop.BopParametersOrBuilder.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 } "];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| int com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.getLogSearchProgress | ( | ) |
Whether the solver should log the search progress to LOG(INFO).
optional bool log_search_progress = 14 [default = false];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| double com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| double com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| int com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| long com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| int com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| int com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| int com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| int com.google.ortools.bop.BopParametersOrBuilder.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;
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| long com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| int com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| int com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| double com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| int com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| int com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| int com.google.ortools.bop.BopParametersOrBuilder.getNumRandomLnsTries | ( | ) |
Number of tries in the random lns.
optional int32 num_random_lns_tries = 10 [default = 1];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| int com.google.ortools.bop.BopParametersOrBuilder.getNumRelaxedVars | ( | ) |
Number of variables to relax in the exhaustive Large Neighborhood Search.
optional int32 num_relaxed_vars = 8 [default = 10];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.getPruneSearchTree | ( | ) |
Avoid exploring both branches (b, a, ...) and (a, b, ...).
optional bool prune_search_tree = 4 [default = false];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| int com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| double com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| com.google.ortools.bop.BopSolverOptimizerSet com.google.ortools.bop.BopParametersOrBuilder.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;
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| int com.google.ortools.bop.BopParametersOrBuilder.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;
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| java.util.List< com.google.ortools.bop.BopSolverOptimizerSet > com.google.ortools.bop.BopParametersOrBuilder.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;
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| com.google.ortools.bop.BopSolverOptimizerSetOrBuilder com.google.ortools.bop.BopParametersOrBuilder.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;
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| java.util.List<? extends com.google.ortools.bop.BopSolverOptimizerSetOrBuilder > com.google.ortools.bop.BopParametersOrBuilder.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;
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| com.google.ortools.bop.BopParameters.ThreadSynchronizationType com.google.ortools.bop.BopParametersOrBuilder.getSynchronizationType | ( | ) |
optional .operations_research.bop.BopParameters.ThreadSynchronizationType synchronization_type = 25 [default = NO_SYNCHRONIZATION];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.getUseLearnedBinaryClausesInLp | ( | ) |
Whether we use the learned binary clauses in the Linear Relaxation.
optional bool use_learned_binary_clauses_in_lp = 23 [default = true];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.getUseLpLns | ( | ) |
Use Large Neighborhood Search based on the LP relaxation.
optional bool use_lp_lns = 12 [default = true];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.getUseRandomLns | ( | ) |
Use the random Large Neighborhood Search instead of the exhaustive one.
optional bool use_random_lns = 6 [default = true];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.getUseSatToChooseLnsNeighbourhood | ( | ) |
Whether we use sat propagation to choose the lns neighbourhood.
optional bool use_sat_to_choose_lns_neighbourhood = 15 [default = true];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.hasComputeEstimatedImpact | ( | ) |
Compute estimated impact at each iteration when true; only once when false.
optional bool compute_estimated_impact = 3 [default = true];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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 } "];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.hasLogSearchProgress | ( | ) |
Whether the solver should log the search progress to LOG(INFO).
optional bool log_search_progress = 14 [default = false];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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;
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.hasNumRandomLnsTries | ( | ) |
Number of tries in the random lns.
optional int32 num_random_lns_tries = 10 [default = 1];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.hasNumRelaxedVars | ( | ) |
Number of variables to relax in the exhaustive Large Neighborhood Search.
optional int32 num_relaxed_vars = 8 [default = 10];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.hasPruneSearchTree | ( | ) |
Avoid exploring both branches (b, a, ...) and (a, b, ...).
optional bool prune_search_tree = 4 [default = false];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.hasSynchronizationType | ( | ) |
optional .operations_research.bop.BopParameters.ThreadSynchronizationType synchronization_type = 25 [default = NO_SYNCHRONIZATION];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.hasUseLearnedBinaryClausesInLp | ( | ) |
Whether we use the learned binary clauses in the Linear Relaxation.
optional bool use_learned_binary_clauses_in_lp = 23 [default = true];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.hasUseLpLns | ( | ) |
Use Large Neighborhood Search based on the LP relaxation.
optional bool use_lp_lns = 12 [default = true];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.hasUseRandomLns | ( | ) |
Use the random Large Neighborhood Search instead of the exhaustive one.
optional bool use_random_lns = 6 [default = true];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.hasUseSatToChooseLnsNeighbourhood | ( | ) |
Whether we use sat propagation to choose the lns neighbourhood.
optional bool use_sat_to_choose_lns_neighbourhood = 15 [default = true];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
| boolean com.google.ortools.bop.BopParametersOrBuilder.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];
Implemented in com.google.ortools.bop.BopParameters.Builder, and com.google.ortools.bop.BopParameters.
1.12.0