Working principles, behavior, and performance of MOEAs on MNK-landscapes

This work studies the working principles, behavior, and performance of multiobjective evolutionary algorithms (MOEAs) on multiobjective epistatic fitness functions with discrete binary search spaces by using MNK-landscapes. First, we analyze the structure and some of the properties of MNK-landscapes...

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Bibliographic Details
Published in:	European journal of operational research Vol. 181; no. 3; pp. 1670 - 1690
Main Authors:	Aguirre, Hernán E., Tanaka, Kiyoshi
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 16.09.2007 Elsevier Elsevier Sequoia S.A
Series:	European Journal of Operational Research
Subjects:	Algorithms Discrete binary search spaces Drift Epistasis Evolution & development Evolutionary computations MNK-landscapes Multiobjective combinatorial optimization Multiobjective evolutionary algorithms Mutation Non-linear multiobjective fitness functions Recombination Selection Studies Non-linear multiobjective fitness functions Evolutionary computations Multiobjective evolutionary algorithms Multiobjective combinatorial optimization Recombination MNK-landscapes Selection Epistasis Drift Discrete binary search spaces Mutation
ISSN:	0377-2217, 1872-6860
Online Access:	Get full text
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