r
Creates and configures an R-SPLINE optimization algorithm for a given problem definition.
Return
An instance of RSplineSolver 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 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.
Optional initial solution to start the optimization. Defaults to the starting point provided by the problem definition.
The maximum number of iterations the algorithm will run. Defaults to 1000.
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).
Optional callback function to print or handle intermediate solutions. Can be used to observe the optimization process.
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.