Package org.moeaframework.problem.misc
Class Viennet2
java.lang.Object
org.moeaframework.problem.AbstractProblem
org.moeaframework.problem.misc.Viennet2
- All Implemented Interfaces:
AutoCloseable
,Problem
The Viennet (2) problem.
Properties:
- Connected Pareto set
- Disconnected Pareto front
References:
- Viennet, R., et al (1996). "Multicriteria Optimization Using a Genetic Algorithm for Determining a Pareto Set." International Journal of Systems Science, 27(2):255-260.
- Van Veldhuizen, D. A (1999). "Multiobjective Evolutionary Algorithms: Classifications, Analyses, and New Innovations." Air Force Institute of Technology, Ph.D. Thesis, Appendix B.
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Field Summary
Fields inherited from class org.moeaframework.problem.AbstractProblem
numberOfConstraints, numberOfObjectives, numberOfVariables
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Constructor Summary
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Method Summary
Modifier and TypeMethodDescriptionvoid
Evaluates the solution, updating the solution's objectives in place.Returns a new solution for this problem.Methods inherited from class org.moeaframework.problem.AbstractProblem
close, getName, getNumberOfConstraints, getNumberOfObjectives, getNumberOfVariables
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Constructor Details
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Viennet2
public Viennet2()Constructs the Viennet (2) problem.
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Method Details
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evaluate
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
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newSolution
Description copied from interface:Problem
Returns a new solution for this problem. Implementations must initialize the variables so that the valid range of values is defined, but typically leave the actual value at a default or undefined state.- Returns:
- a new solution for this problem
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