create
Creates and configures an R-SPLINE optimization algorithm 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 initial number of replications to use during each evaluation. Defaults to defaultInitialSampleSize.
The growth rate of the sample size as the solver progresses. Defaults to defaultSampleSizeGrowthRate.
The maximum number of replications by growth rate. Defaults to defaultMaxNumReplications.
The maximum number of iterations the algorithm will run. Defaults to 1000.
The number of replications to use during each evaluation to reduce stochastic noise. Defaults to 50.
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
indicates if a default KSL database should be created and attached to the model. The default is false.