Package net.sf.tweety.math.opt.solver

Class ApacheCommonsCMAESOptimizer

java.lang.Object

net.sf.tweety.math.opt.Solver

net.sf.tweety.math.opt.solver.ApacheCommonsCMAESOptimizer

public class ApacheCommonsCMAESOptimizer
extends Solver

This class is a wrapper for the Apache Commons Math3 CMAES optimizer (https://commons.apache.org/proper/commons-math/).

Author:

Matthias Thimm

Field Summary

Fields

Modifier and Type	Field	Description
private int	checkFeasableCount	Determines how often new random objective variables are generated in case they are out of bounds.
private int	diagonalOnly	Number of initial iterations, where the covariance matrix remains diagonal.
private boolean	isActiveCMA	Chooses the covariance matrix update method.
private int	maxIterations	Maximal number of iterations.
private int	populationSize	Population size
private double	precision	The precision of the optimization
private double	stopFitness	Whether to stop if objective function value is smaller than stopFitness.

Constructor Summary

Constructors

Constructor	Description
ApacheCommonsCMAESOptimizer(int populationSize, int maxIterations, double stopFitness, boolean isActiveCMA, int diagonalOnly, int checkFeasableCount, double precision)	Parameters from org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer:

Method Summary

Modifier and Type	Method	Description
static boolean	isInstalled()
java.util.Map<Variable,Term>	solve(ConstraintSatisfactionProblem problem)	Computes a solution to the given constraint satisfaction or optimization problem, i.e.
java.util.Map<Variable,Term>	solve(Term t, int optimization_type)	Returns the variable assignment that maximizes/minimizes the given term (which only contains variables with defined upper and lower bounds).

Methods inherited from class net.sf.tweety.math.opt.Solver

getDefaultGeneralSolver, getDefaultIntegerLinearSolver, getDefaultLinearSolver, hasDefaultGeneralSolver, hasDefaultIntegerLinearSolver, hasDefaultLinearSolver, setDefaultGeneralSolver, setDefaultIntegerLinearSolver, setDefaultLinearSolver

Methods inherited from class java.lang.Object

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

Field Detail

populationSize

private int populationSize

Population size

maxIterations

private int maxIterations

Maximal number of iterations.

stopFitness

private double stopFitness

Whether to stop if objective function value is smaller than stopFitness.

isActiveCMA

private boolean isActiveCMA

Chooses the covariance matrix update method.

diagonalOnly

private int diagonalOnly

Number of initial iterations, where the covariance matrix remains diagonal.

checkFeasableCount

private int checkFeasableCount

Determines how often new random objective variables are generated in case they are out of bounds.

precision

private double precision

The precision of the optimization

Constructor Detail

ApacheCommonsCMAESOptimizer

public ApacheCommonsCMAESOptimizer(int populationSize,
                                   int maxIterations,
                                   double stopFitness,
                                   boolean isActiveCMA,
                                   int diagonalOnly,
                                   int checkFeasableCount,
                                   double precision)

Parameters from org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer:

Parameters:

populationSize - the population size

maxIterations - Maximal number of iterations.

stopFitness - Whether to stop if objective function value is smaller than stopFitness.

isActiveCMA - Chooses the covariance matrix update method.

diagonalOnly - Number of initial iterations, where the covariance matrix remains diagonal.

checkFeasableCount - Determines how often new random objective variables are generated in case they are out of bounds.

precision - the precision of the optimization

Method Detail

solve

public java.util.Map<Variable,Term> solve(ConstraintSatisfactionProblem problem)
                                         throws GeneralMathException

Description copied from class: Solver

Computes a solution to the given constraint satisfaction or optimization problem, i.e. a mapping from variables of the problem to terms.

Specified by:

solve in class Solver

Parameters:

problem - the actual problem

Returns:

a mapping from variables of the problem to terms.

Throws:

GeneralMathException - if something went wrong.

solve

public java.util.Map<Variable,Term> solve(Term t,
                                                int optimization_type)
                                         throws GeneralMathException

Returns the variable assignment that maximizes/minimizes the given term (which only contains variables with defined upper and lower bounds).

Parameters:

t - the term to be evaluated

optimization_type - one of OptimizationProblem.MAXIMIZE, OptimizationProblem.MINIMIZE

Returns:

the optimal variable assignment

Throws:

GeneralMathException - if there is some issue in the computation

isInstalled

public static boolean isInstalled()
                           throws java.lang.UnsupportedOperationException

Throws:

java.lang.UnsupportedOperationException