Computer Science – Neural and Evolutionary Computing
Scientific paper
2011-01-31
Computer Science
Neural and Evolutionary Computing
8 pages,ICCS 2007
Scientific paper
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.
Li Yuanxiang
Zheng BoJin
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