New Model for Multi-Objective Evolutionary Algorithms

2011/01/31 by Bojin Zheng, Zheng, Bojin, Yuanxiang Li +1
Computer Science · Engineering · #Advanced Control Systems Optimization #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE)

paper · pdf · doi:10.48550/arxiv.1101.5997

openalex publication_date 2011/01/31 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

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