create
Creates and configures a Bayesian optimization 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 seed it into the initial design. All subsequent restarts use purely random initial designs.
The number of initial design points per restart. Defaults to BayesianOptimizationSolver.defaultInitialDesignSize.
The acquisition function. Defaults to ExpectedImprovement.
The maximum number of BO iterations 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 Bayesian optimization solver and the outer driver; defaults to a fresh RNStreamProvider