New Model for Multi-objective Evolutionary Algorithms

Authors:
Bojin Zheng;Yuanxiang Li
Affiliations:
College of Computer Science, South-central University for Nationalities, Wuhan, 430074, China;State Key Lab. of Software Engineering, Wuhan University, Wuhan, 430072, China
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
Year:
2007

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Abstract

Multi-Objective Evolutionary Algorithms (MOEAs) have been proved efficient to deal with Multi-objective Optimization Problems (MOPs). Until now tens of MOEAs have been proposed. The unified mode would provide a more systematic approach to build new MOEAs. Here a new model is proposed which includes two sub-models based on two classes of different schemas of MOEAs. According to the new model, some representatives algorithms are decomposed and some interesting issues are discussed.