Class GeneticOptimizer

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

Inheritance

Object

GeneticOptimizer

Implements

IOptimizer

Inherited Members

Object.Equals(Object)

Object.Equals(Object, Object)

Object.GetHashCode()

Object.GetType()

Object.MemberwiseClone()

Object.ReferenceEquals(Object, Object)

Object.ToString()

Namespace: BayesServer.Optimization.Genetic

Assembly: BayesServer.Optimization.dll

Syntax

public sealed class GeneticOptimizer : IOptimizer

Methods

Optimize(Network, Objective, IList<DesignVariable>, IEvidence, IOptimizerOptions)

Perform optimization of an objective (target).

Declaration

public IOptimizerOutput Optimize(Network network, Objective objective, IList<DesignVariable> designVariables, IEvidence fixedEvidence, IOptimizerOptions options)

Parameters

Type	Name	Description
Network	network	The Bayesian network.
Objective	objective	The objective (target) to optimize.
IList<DesignVariable>	designVariables	The inputs to the optimizer and their settings.
IEvidence	fixedEvidence	Optional evidence that should be fixed during optimization.
IOptimizerOptions	options	Options for the optimization algorithm.

Returns

Type	Description
IOptimizerOutput

Implements

IOptimizer