Package org.moeaframework.problem.DTLZ

Class DTLZ3

java.lang.Object

org.moeaframework.problem.AbstractProblem

org.moeaframework.problem.DTLZ.DTLZ

org.moeaframework.problem.DTLZ.DTLZ3

All Implemented Interfaces:

AutoCloseable, Problem, AnalyticalProblem

Direct Known Subclasses:

C1_DTLZ3

public class DTLZ3
extends DTLZ

The DTLZ3 test problem.

Field Summary

Fields inherited from class org.moeaframework.problem.AbstractProblem

numberOfConstraints, numberOfObjectives, numberOfVariables

Constructor Summary

Constructors

Constructor	Description
DTLZ3(int numberOfObjectives)	Constructs a DTLZ3 test problem with the specified number of objectives.
DTLZ3(int numberOfVariables, int numberOfObjectives)	Constructs a DTLZ3 test problem with the specified number of variables and objectives.

Method Summary

Modifier and Type	Method	Description
void	evaluate(Solution solution)	Evaluates the solution, updating the solution's objectives in place.
Solution	generate()	Returns a randomly-generated solution using the analytical solution to this problem.

Methods inherited from class org.moeaframework.problem.DTLZ.DTLZ

newSolution

Methods inherited from class org.moeaframework.problem.AbstractProblem

close, getName, getNumberOfConstraints, getNumberOfObjectives, getNumberOfVariables

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.moeaframework.core.Problem

close, getName, getNumberOfConstraints, getNumberOfObjectives, getNumberOfVariables, isType

Constructor Details

DTLZ3

public DTLZ3(int numberOfObjectives)

Constructs a DTLZ3 test problem with the specified number of objectives. This is equivalent to calling new DTLZ3(numberOfObjectives+9, numberOfObjectives).

Parameters:

numberOfObjectives - the number of objectives for this problem

DTLZ3

public DTLZ3(int numberOfVariables,
 int numberOfObjectives)

Constructs a DTLZ3 test problem with the specified number of variables and objectives.

Parameters:

numberOfVariables - the number of variables for this problem

numberOfObjectives - the number of objectives for this problem

Method Details

evaluate

public void evaluate(Solution solution)

Description copied from interface: Problem

Evaluates the solution, updating the solution's objectives in place. Algorithms must explicitly call this method when appropriate to evaluate new solutions or reevaluate modified solutions.

Parameters:

solution - the solution to be evaluated

generate

public Solution generate()

Description copied from interface: AnalyticalProblem

Returns a randomly-generated solution using the analytical solution to this problem. Note however that discontinuous Pareto surfaces may result in some solutions generated by this method being dominated by other generated solutions. It is therefore recommended using a NondominatedPopulation to remove dominated solutions prior to using the generated reference set.

The generated solutions should be spread uniformly across the entire Pareto frontier; however, this is a suggestion and is not a requirement of this interface.

Returns:

a randomly-generated Pareto optimal solution to this problem