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. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Zheng, B., & Li, Y. (2007). New model for multi-objective evolutionary algorithms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4490 LNCS, pp. 1037–1044). Springer Verlag. https://doi.org/10.1007/978-3-540-72590-9_157
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