Stochastic
Represents an abstract base class for stochastic solvers. This class provides foundational functionality for solvers that utilize randomness during their optimization process.
Parameters
The evaluator responsible for assessing the quality of solutions. Must implement the EvaluatorIfc interface.
The maximum number of iterations allowed for the solving process.
Strategy to determine the number of replications to perform for each evaluation.
the random number stream number, defaults to 0, which means the next stream
the provider of random number streams, defaults to KSLRandom.DefaultRNStreamProvider
Optional name identifier for this instance of the solver.
Inheritors
Constructors
Creates a stochastic solver with the specified parameters.
Properties
If true, the stream will automatically participate in having its stream advanced to the next sub-stream via stream managers
Tells the stream to start producing antithetic variates
If true, the stream will automatically participate in having its stream reset to its start stream via stream managers
rnStream provides a reference to the underlying stream of random numbers
Functions
Positions the RNG at the beginning of its next substream
The resetStartStream method will position the RNG at the beginning of its stream. This is the same location in the stream as assigned when the RNG was created and initialized.
Resets the position of the RNG at the start of the current substream