Google OR-Tools v9.11
a fast and portable software suite for combinatorial optimization
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operations_research::sat::RandomIntervalSchedulingNeighborhoodGenerator Class Reference

#include <cp_model_lns.h>

Inheritance diagram for operations_research::sat::RandomIntervalSchedulingNeighborhoodGenerator:
operations_research::sat::NeighborhoodGenerator

Public Member Functions

 RandomIntervalSchedulingNeighborhoodGenerator (NeighborhoodGeneratorHelper const *helper, absl::string_view name)
 
Neighborhood Generate (const CpSolverResponse &initial_solution, double difficulty, absl::BitGenRef random) final
 
- Public Member Functions inherited from operations_research::sat::NeighborhoodGenerator
 NeighborhoodGenerator (absl::string_view name, NeighborhoodGeneratorHelper const *helper)
 
virtual ~NeighborhoodGenerator ()=default
 
virtual bool ReadyToGenerate () const
 Returns true if the neighborhood generator can generate a neighborhood.
 
double GetUCBScore (int64_t total_num_calls) const
 
void AddSolveData (SolveData data)
 
double Synchronize ()
 
std::string name () const
 Returns a short description of the generator.
 
int64_t num_calls () const
 Number of times this generator was called.
 
int64_t num_fully_solved_calls () const
 Number of time the neighborhood was fully solved (OPTIMAL/INFEASIBLE).
 
int64_t num_improving_calls () const
 Out of num_calls(), how many improved the given solution.
 
int64_t num_consecutive_non_improving_calls () const
 
double difficulty () const
 The current difficulty of this generator.
 
double deterministic_limit () const
 The current time limit that the sub-solve should use on this generator.
 

Additional Inherited Members

- Protected Attributes inherited from operations_research::sat::NeighborhoodGenerator
const std::string name_
 
const NeighborhoodGeneratorHelperhelper_
 
absl::Mutex generator_mutex_
 

Detailed Description

Only make sense for scheduling problem. This select a random set of interval of the problem according to the difficulty. Then, for each scheduling constraints, it adds strict relation order between the non-relaxed intervals.

Definition at line 635 of file cp_model_lns.h.

Constructor & Destructor Documentation

◆ RandomIntervalSchedulingNeighborhoodGenerator()

operations_research::sat::RandomIntervalSchedulingNeighborhoodGenerator::RandomIntervalSchedulingNeighborhoodGenerator ( NeighborhoodGeneratorHelper const * helper,
absl::string_view name )
inlineexplicit

Definition at line 638 of file cp_model_lns.h.

Member Function Documentation

◆ Generate()

Neighborhood operations_research::sat::RandomIntervalSchedulingNeighborhoodGenerator::Generate ( const CpSolverResponse & initial_solution,
double difficulty,
absl::BitGenRef random )
finalvirtual

Generates a "local" subproblem for the given seed.

The difficulty will be in [0, 1] and is related to the asked neighborhood size (and thus local problem difficulty). A difficulty of 0.0 means empty neighborhood and a difficulty of 1.0 means the full problem. The algorithm should try to generate a neighborhood according to this difficulty which will be dynamically adjusted depending on whether or not we can solve the subproblem in a given time limit.

The given initial_solution should contain a feasible solution to the initial CpModelProto given to this class. Any solution to the returned CPModelProto should also be valid solution to the same initial model.

This function should be thread-safe.

Implements operations_research::sat::NeighborhoodGenerator.

Definition at line 2009 of file cp_model_lns.cc.


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