Package com.bayesserver.optimization

Class GeneticOptimizer

java.lang.Object

com.bayesserver.optimization.GeneticOptimizer

All Implemented Interfaces:

Optimizer

public final class GeneticOptimizer
extends Object
implements Optimizer

A genetic algorithm optimizer. Does not guarantee optimum solutions are found, but can handle discrete/continuous/functions and non-linear problems.

Constructor Summary

Constructors

Constructor	Description
GeneticOptimizer()

Method Summary

Modifier and Type	Method	Description
OptimizerOutput	optimize(Network network, Objective objective, List<DesignVariable> designVariables, Evidence fixedEvidence, OptimizerOptions options)	Perform optimization of an objective (target).

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

GeneticOptimizer

public GeneticOptimizer()

Method Detail

optimize

public OptimizerOutput optimize(Network network,
                                Objective objective,
                                List<DesignVariable> designVariables,
                                Evidence fixedEvidence,
                                OptimizerOptions options)

Perform optimization of an objective (target).

Specified by:

optimize in interface Optimizer

Parameters:

network - The Bayesian network.

objective - The objective (target) to optimize.

designVariables - The inputs to the optimizer and their settings.

fixedEvidence - Optional evidence that should be fixed during optimization.

options - Options for the optimization algorithm.

Returns: