create
Creates and configures a genetic algorithm solver for a given problem definition that uses a random restart approach.
Return
An instance of RandomRestartSolver that encapsulates the optimization process and results.
Parameters
The definition of the optimization problem, including constraints and objectives.
The model builder interface used to create models for evaluation.
The maximum number of restarts to be performed.
An optional starting point. If provided, the FIRST run of the solver will begin here. All subsequent restarts will begin at purely random, auto-generated coordinates.
The number of individuals per generation. Defaults to GeneticAlgorithmSolver.defaultPopulationSize.
The parent-selection strategy. Defaults to TournamentSelection.
The recombination strategy. Defaults to BlendCrossover.
The mutation strategy. When null (the default), a GaussianMutation for the problem is created.
The maximum number of generations per restart. Defaults to 100.
The number of replications to use during each evaluation to reduce stochastic noise.
Specifies if the evaluator uses a solution cache. By default, this is MemorySolutionCache.
Specifies if the simulation oracle will use a SimulationRunCache. The default is null (no cache).
the run parameters to apply to the model during the building process
the random number stream number for the outer random-restart driver; 0 (the default) means the next available stream
the provider of random number streams shared by the inner genetic algorithm solver and the outer driver; defaults to a fresh RNStreamProvider