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一种多目标优化进化算法研究 被引量:6

A Study of Multi-objective Optimization Evolutionary Algorithm
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摘要 提出了一种基于多性别遗传算法(MSGA)的多目标优化进化算法,在同一性别种群的进化中采用了线性排名选择算子,给出了一种求解非劣解的算法,并以两个算例作了对解决多目标优化问题有效性的验证。 In this paper, a method based on MSGA for solving mul tiobjective optimization problems by evolutionary algorithm is proposed. A l inear ranking selection operator is used in the same sexual population's evo lution, a algorithm of non-inferiority solutions algorithm is showed and two ex amples is applied in order to verify the effectiveness of the algorithm.
作者 张葵葵 汪晗
出处 《长沙交通学院学报》 2003年第2期76-79,共4页 Journal of Changsha Communications University
关键词 进化算法 多目标优化 PARETO最优 多性别遗传算法 多目标优化进化算法 evolutionary algorithm multi-objective optimization Pareto optimal
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参考文献4

  • 1[日]玄光南 陈润伟.遗传算法与工程设计[M].北京:科学出版社,2000..
  • 2Joanna Lis, Eiben A E. A Multi- Sexual Genetic Algorithm for Multi- objective Optimization[A]. In Toshio Fukuda and Takeshi Feruhashi, Editors, Proceedings of the 1996 International Conference on Evolutionary Computation [ C].Nagoya, Japan, 1996,59 - 64.
  • 3Carlos M. Fonseca and Peter J. Fleming. Genetic Algorithms for Multiobjective Optimization: formulation, Discussion and Generation[A]. In Stepphanie Forrest, editor, Proceeding of the Fifth International Conference on Genetic Algorithms[ C]. San-Mateo, California, 1993. University of Illinois at Urbana Champaigen, Morgan Kauffman Publishers.416 -423.
  • 4Michalewicz Z. Genetic Algorithms + Data Structures = Evolution Programs[M ]. Spring- Verlag, Berlin, 1992.

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