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.
@article{arxiv.1101.5997,
title = {New Model for Multi-Objective Evolutionary Algorithms},
author = {Bojin Zheng and Yuanxiang Li},
journal= {arXiv preprint arXiv:1101.5997},
year = {2011}
}