| Class | Description |
|---|---|
| AcceptanceStrategy |
Determines when a neighbor solution, obtained by the application of a
perturbation and improvement step to a reference solution, is used to
replace the reference solution.
|
| AcceptanceStrategy.Builder |
Determines when a neighbor solution, obtained by the application of a
perturbation and improvement step to a reference solution, is used to
replace the reference solution.
|
| AlternativeNodeIterator | |
| Assignment |
An Assignment is a variable -> domains mapping, used
to report solutions to the user. |
| AssignmentElement | |
| AssignmentIntContainer | |
| AssignmentIntervalContainer | |
| AssignmentSequenceContainer | |
| BaseIntExpr | |
| BaseLns |
This is the base class for building an Lns operator.
|
| BaseObject |
A BaseObject is the root of all reversibly allocated objects.
|
| BaseObjectiveMonitor | |
| BooleanVar | |
| BoundCost |
A structure meant to store soft bounds and associated violation constants.
|
| CastConstraint |
Cast constraints are special channeling constraints designed
to keep a variable in sync with an expression. |
| ChangeValue |
Defines operators which change the value of variables;
each neighbor corresponds to *one* modified variable. |
| Constraint |
A constraint is the main modeling object.
|
| ConstraintSolverParameters |
Solver parameters.
|
| ConstraintSolverParameters.Builder |
Solver parameters.
|
| ConstraintSolverStatistics |
Statistics on the search in the constraint solver.
|
| ConstraintSolverStatistics.Builder |
Statistics on the search in the constraint solver.
|
| CoolingScheduleStrategy |
The cooling schedule strategy defines how to compute the current simulated
annealing temperature t given
- the initial temperature t0
- the final temperature t1
- the current search progress 0 <= p <= 1
The value of t0 and t1 is defined by the initial_temperature and
final_temperature in SimulatedAnnealingParameters, respectively.
|
| CoolingScheduleStrategy.Builder |
The cooling schedule strategy defines how to compute the current simulated
annealing temperature t given
- the initial temperature t0
- the final temperature t1
- the current search progress 0 <= p <= 1
The value of t0 and t1 is defined by the initial_temperature and
final_temperature in SimulatedAnnealingParameters, respectively.
|
| Decision |
A Decision represents a choice point in the search tree.
|
| DecisionBuilder |
A DecisionBuilder is responsible for creating the search tree.
|
| DecisionVisitor |
A DecisionVisitor is used to inspect a decision.
|
| DefaultPhaseParameters |
This struct holds all parameters for the default search.
|
| Demon |
A Demon is the base element of a propagation queue.
|
| DisjunctiveConstraint | |
| FirstSolutionStrategy |
First solution strategies, used as starting point of local search.
|
| FirstSolutionStrategy.Builder |
First solution strategies, used as starting point of local search.
|
| GlobalVehicleBreaksConstraint |
GlobalVehicleBreaksConstraint ensures breaks constraints are enforced on
all vehicles in the dimension passed to its constructor. |
| ImprovementSearchLimit | |
| IntBoolPair | |
| IntervalVar |
Interval variables are often used in scheduling.
|
| IntervalVarElement | |
| IntExpr |
The class IntExpr is the base of all integer expressions in
constraint programming. |
| IntTupleSet | |
| IntVar |
The class IntVar is a subset of IntExpr.
|
| IntVarElement | |
| IntVarIterator |
The class Iterator has two direct subclasses.
|
| IntVarLocalSearchFilter | |
| IntVarLocalSearchOperator |
Specialization of LocalSearchOperator built from an array of IntVars
which specifies the scope of the operator. |
| IteratedLocalSearchParameters |
Specifies the behavior of a search based on ILS.
|
| IteratedLocalSearchParameters.Builder |
Specifies the behavior of a search based on ILS.
|
| JavaDecisionBuilder |
This class acts as a intermediate step between a c++ decision builder
and a java one.
|
| LocalSearchFilter |
Local Search Filters are used for fast neighbor pruning.
|
| LocalSearchFilterManager |
Filter manager: when a move is made, filters are executed to decide whether
the solution is feasible and compute parts of the new cost. |
| LocalSearchFilterManager.FilterEvent | |
| LocalSearchMetaheuristic |
Local search metaheuristics used to guide the search.
|
| LocalSearchMetaheuristic.Builder |
Local search metaheuristics used to guide the search.
|
| LocalSearchMonitor | |
| LocalSearchOperator |
The base class for all local search operators.
|
| LocalSearchOperatorState | |
| LocalSearchPhaseParameters | |
| LocalSearchStatistics |
Statistics on local search.
|
| LocalSearchStatistics.Builder |
Statistics on local search.
|
| LocalSearchStatistics.FirstSolutionStatistics |
First solution statistics collected during search.
|
| LocalSearchStatistics.FirstSolutionStatistics.Builder |
First solution statistics collected during search.
|
| LocalSearchStatistics.LocalSearchFilterStatistics |
Statistics on local search filters called during the search.
|
| LocalSearchStatistics.LocalSearchFilterStatistics.Builder |
Statistics on local search filters called during the search.
|
| LocalSearchStatistics.LocalSearchOperatorStatistics |
Statistics on local search operators called during the search.
|
| LocalSearchStatistics.LocalSearchOperatorStatistics.Builder |
Statistics on local search operators called during the search.
|
| main | |
| mainJNI | |
| ModelCache |
Implements a complete cache for model elements: expressions and
constraints. |
| ModelVisitor |
Model visitor.
|
| NodeNeighborIterator | |
| ObjectiveMonitor | |
| OptimizeVar |
This class encapsulates an objective.
|
| Pack | |
| PathsMetadata | |
| PerturbationStrategy |
Defines how a reference solution is perturbed.
|
| PerturbationStrategy.Builder |
Defines how a reference solution is perturbed.
|
| PropagationBaseObject |
NOLINT
The PropagationBaseObject is a subclass of BaseObject that is also friend to the Solver class. |
| PropagationMonitor | |
| RandomWalkRuinStrategy |
Ruin strategy that removes a number of customers by performing a random walk
on the underlying routing solution.
|
| RandomWalkRuinStrategy.Builder |
Ruin strategy that removes a number of customers by performing a random walk
on the underlying routing solution.
|
| RegularLimit |
Usual limit based on wall_time, number of explored branches and
number of failures in the search tree |
| RegularLimitParameters |
A search limit
The default values for int64 fields is the maxima value, i.e., 2^63-1
Protobuf type
operations_research.RegularLimitParameters |
| RegularLimitParameters.Builder |
A search limit
The default values for int64 fields is the maxima value, i.e., 2^63-1
Protobuf type
operations_research.RegularLimitParameters |
| RevBool |
This class adds reversibility to a POD type.
|
| RevInteger |
This class adds reversibility to a POD type.
|
| RevLong |
This class adds reversibility to a POD type.
|
| RevPartialSequence |
----- RevPartialSequence -----
|
| RoutingDimension |
Dimensions represent quantities accumulated at nodes along the routes.
|
| RoutingEnums | |
| RoutingIls | |
| RoutingIndexManager |
Manager for any NodeIndex <-> variable index conversion.
|
| RoutingModel | |
| RoutingModel.NodeNeighborsByCostClass | |
| RoutingModel.NodeNeighborsParameters | |
| RoutingModel.PickupDeliveryPosition |
The position of a node in the set of pickup and delivery pairs.
|
| RoutingModel.ResourceGroup |
A ResourceGroup defines a set of available Resources with attributes on
one or multiple dimensions. |
| RoutingModel.ResourceGroup.Attributes |
Attributes for a dimension.
|
| RoutingModel.ResourceGroup.Resource |
A Resource sets attributes (costs/constraints) for a set of dimensions.
|
| RoutingModel.SecondaryOptimizer |
Class used to solve a secondary model within a first solution strategy.
|
| RoutingModel.VariableValuePair |
Struct used to store a variable value.
|
| RoutingModel.VehicleTypeContainer |
Struct used to sort and store vehicles by their type.
|
| RoutingModel.VehicleTypeContainer.VehicleClassEntry | |
| RoutingModelParameters |
Parameters which have to be set when creating a RoutingModel.
|
| RoutingModelParameters.Builder |
Parameters which have to be set when creating a RoutingModel.
|
| RoutingModelVisitor |
Routing model visitor.
|
| RoutingParameters | |
| RoutingSearchParameters |
Parameters defining the search used to solve vehicle routing problems.
|
| RoutingSearchParameters.Builder |
Parameters defining the search used to solve vehicle routing problems.
|
| RoutingSearchParameters.ImprovementSearchLimitParameters |
Parameters required for the improvement search limit.
|
| RoutingSearchParameters.ImprovementSearchLimitParameters.Builder |
Parameters required for the improvement search limit.
|
| RoutingSearchParameters.LocalSearchNeighborhoodOperators |
Local search neighborhood operators used to build a solutions neighborhood.
|
| RoutingSearchParameters.LocalSearchNeighborhoodOperators.Builder |
Local search neighborhood operators used to build a solutions neighborhood.
|
| RoutingSearchStatus |
Used by `RoutingModel` to report the status of the search for a solution.
|
| RoutingSearchStatus.Builder |
Used by `RoutingModel` to report the status of the search for a solution.
|
| RuinCompositionStrategy |
The ruin composition strategies specifies how ruin are selected at every ILS
iteration.
|
| RuinCompositionStrategy.Builder |
The ruin composition strategies specifies how ruin are selected at every ILS
iteration.
|
| RuinRecreateParameters |
Parameters to configure a perturbation based on a ruin and recreate approach.
|
| RuinRecreateParameters.Builder |
Parameters to configure a perturbation based on a ruin and recreate approach.
|
| RuinStrategy |
Ruin strategies, used in perturbation based on ruin and recreate approaches.
|
| RuinStrategy.Builder |
Ruin strategies, used in perturbation based on ruin and recreate approaches.
|
| SearchLimit |
Base class of all search limits.
|
| SearchLimitProtobuf | |
| SearchLog |
The base class of all search logs that periodically outputs information when
the search is running. |
| SearchMonitor |
A search monitor is a simple set of callbacks to monitor all search events
|
| SearchStatistics |
Search statistics.
|
| SearchStatistics.Builder |
Search statistics.
|
| SearchStats | |
| SequenceVar |
A sequence variable is a variable whose domain is a set of possible
orderings of the interval variables. |
| SequenceVarElement |
The SequenceVarElement stores a partial representation of ranked
interval variables in the underlying sequence variable. |
| SimpleBoundCosts | |
| SimulatedAnnealingParameters |
Specifies the behavior of a simulated annealing acceptance strategy.
|
| SimulatedAnnealingParameters.Builder |
Specifies the behavior of a simulated annealing acceptance strategy.
|
| SISRRuinStrategy |
Ruin strategy based on the "Slack Induction by String Removals for Vehicle
Routing Problems" by Jan Christiaens and Greet Vanden Berghe, Transportation
Science 2020.
|
| SISRRuinStrategy.Builder |
Ruin strategy based on the "Slack Induction by String Removals for Vehicle
Routing Problems" by Jan Christiaens and Greet Vanden Berghe, Transportation
Science 2020.
|
| SolutionCollector |
This class is the root class of all solution collectors.
|
| SolutionPool |
This class is used to manage a pool of solutions.
|
| Solver |
Solver Class
A solver represents the main computation engine. |
| Solver.IntegerCastInfo |
Holds semantic information stating that the 'expression' has been
cast into 'variable' using the Var() method, and that 'maintainer' is responsible for maintaining the equality between 'variable' and 'expression'. |
| SolverParameters | |
| SpatiallyCloseRoutesRuinStrategy |
Ruin strategy that removes a number of spatially close routes.
|
| SpatiallyCloseRoutesRuinStrategy.Builder |
Ruin strategy that removes a number of spatially close routes.
|
| SWIGTYPE_p_absl__Duration | |
| SWIGTYPE_p_absl__flat_hash_setT_int_t | |
| SWIGTYPE_p_absl__flat_hash_setT_operations_research__IntVar_p_t | |
| SWIGTYPE_p_absl__flat_hash_setT_RoutingDimensionIndex_t | |
| SWIGTYPE_p_absl__SpanT_int_const_t | |
| SWIGTYPE_p_absl__SpanT_long_const_t | |
| SWIGTYPE_p_double | |
| SWIGTYPE_p_long | |
| SWIGTYPE_p_operations_research__AssignmentProto | |
| SWIGTYPE_p_operations_research__ConstraintSolverParameters | |
| SWIGTYPE_p_operations_research__GlobalDimensionCumulOptimizer | |
| SWIGTYPE_p_operations_research__LocalDimensionCumulOptimizer | |
| SWIGTYPE_p_operations_research__RoutingSearchParameters | |
| SWIGTYPE_p_std__atomicT_bool_t | |
| SWIGTYPE_p_std__dequeT_int_t | |
| SWIGTYPE_p_std__functionT_bool_flongF_t | |
| SWIGTYPE_p_std__functionT_FloatSlopePiecewiseLinearFunction_const_pflong_longF_t | |
| SWIGTYPE_p_std__functionT_std__optionalT_long_t_fstd__vectorT_long_t_const_RF_t | |
| SWIGTYPE_p_std__functionT_std__vectorT_int_t_const_Rfint_intF_t | |
| SWIGTYPE_p_std__optionalT_long_t | |
| SWIGTYPE_p_std__optionalT_operations_research__RoutingModel__PickupDeliveryPosition_t | |
| SWIGTYPE_p_std__vectorT_absl__flat_hash_setT_int_t_t | |
| SWIGTYPE_p_std__vectorT_bool_t | |
| SWIGTYPE_p_std__vectorT_operations_research__Assignment_const_p_t | |
| SWIGTYPE_p_std__vectorT_operations_research__BaseObjectiveMonitor_p_t | |
| SWIGTYPE_p_std__vectorT_operations_research__LocalSearchFilterManager__FilterEvent_t | |
| SWIGTYPE_p_std__vectorT_operations_research__RoutingDimension_const_p_t | |
| SWIGTYPE_p_std__vectorT_operations_research__RoutingDimension_p_t | |
| SWIGTYPE_p_std__vectorT_operations_research__RoutingModel__ResourceGroup__Resource_t | |
| SWIGTYPE_p_std__vectorT_operations_research__RoutingModel__VariableValuePair_t | |
| SWIGTYPE_p_std__vectorT_std__dequeT_int_t_t | |
| SWIGTYPE_p_std__vectorT_std__pairT_long_long_t_t | |
| SWIGTYPE_p_std__vectorT_std__setT_operations_research__RoutingModel__VehicleTypeContainer__VehicleClassEntry_t_t | |
| SWIGTYPE_p_std__vectorT_std__unique_ptrT_operations_research__RoutingModel__ResourceGroup_t_t | |
| SWIGTYPE_p_util_intops__StrongVectorT_operations_research__RoutingModel__ResourceClassIndex_std__vectorT_int_t_t | |
| SymmetryBreaker |
A symmetry breaker is an object that will visit a decision and
create the 'symmetrical' decision in return. |
| TypeIncompatibilityChecker |
Checker for type incompatibilities.
|
| TypeRegulationsChecker | |
| TypeRegulationsConstraint |
The following constraint ensures that incompatibilities and requirements
between types are respected. |
| TypeRequirementChecker |
Checker for type requirements.
|
| Enum | Description |
|---|---|
| AcceptanceStrategy.Value |
Protobuf enum
operations_research.AcceptanceStrategy.Value |
| ConstraintSolverParameters.TrailCompression |
Internal parameters of the solver.
|
| CoolingScheduleStrategy.Value |
Protobuf enum
operations_research.CoolingScheduleStrategy.Value |
| FirstSolutionStrategy.Value |
Protobuf enum
operations_research.FirstSolutionStrategy.Value |
| LocalSearchMetaheuristic.Value |
Protobuf enum
operations_research.LocalSearchMetaheuristic.Value |
| PerturbationStrategy.Value |
Protobuf enum
operations_research.PerturbationStrategy.Value |
| RoutingSearchParameters.InsertionSortingProperty |
Properties used to select in which order nodes or node pairs are considered
in insertion heuristics.
|
| RoutingSearchParameters.PairInsertionStrategy |
In insertion-based heuristics, describes what positions must be considered
when inserting a pickup/delivery pair, and in what order they are
considered.
|
| RoutingSearchParameters.SchedulingSolver |
Underlying solver to use in dimension scheduling, respectively for
continuous and mixed models.
|
| RoutingSearchStatus.Value |
Protobuf enum
operations_research.RoutingSearchStatus.Value |
| RuinCompositionStrategy.Value |
Protobuf enum
operations_research.RuinCompositionStrategy.Value |
| RuinStrategy.StrategyCase |
| Exception | Description |
|---|---|
| Solver.FailException |
This exceptions signal that a failure has been raised in the C++ world.
|
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