Asymptotic convergence of metaheuristics for multiobjective optimization problems

Villalobos-Arias M; Coello CAC; Hernandez-Lerma O

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Asymptotic convergence of metaheuristics for multiobjective optimization problems

机译：多目标优化问题的元启发式渐近收敛

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摘要

This paper analyzes the convergence of metaheuristics used for multiobjective optimization problems in which the transition probabilities use a uniform mutation rule. We prove that these algorithms converge only if elitism is used.

机译：本文分析了用于多目标优化问题的元启发式算法的收敛性，其中转移概率使用统一的突变规则。我们证明只有使用精英才能使这些算法收敛。

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《Soft computing: A fusion of foundations, methodologies and applications》 |2006年第11期|共5页
作者
Villalobos-Arias M; Coello CAC; Hernandez-Lerma O;
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原文格式 PDF
正文语种 eng
中图分类计算机软件;
关键词
metaheuristics; multiobjective optimization; multiobjective metaheuristics;

机译：元启发式;多目标优化;多目标元启发式;

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1. Asymptotic convergence of metaheuristics for multiobjective optimization problems [J] . Villalobos-Arias M, Coello CAC, Hernandez-Lerma O Soft computing: A fusion of foundations, methodologies and applications . 2006,第11期

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4. Asymptotic Convergence of Some Metaheuristics Used for Multiobjective Optimization [C] . Mario Villalobos-Arias, Carlos A. Coello Coello, Onesimo Hernandez-Lerma International Workshop on Foundations of Genetic Algorithms . 2005

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8. Measure of Pareto Optima: Applications to Multiobjective Metaheuristics [R] . Fleischer, M. 2002

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Asymptotic convergence of metaheuristics for multiobjective optimization problems

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