多目标最优化进化算法中适应性的选择

广东工业大学学报 ›› 2002, Vol. 19 ›› Issue (1): 7-10.

多目标最优化进化算法中适应性的选择

华南理工大学自动控制工程系；华南理工大学自动控制工程系广东广州广东工业大学应用数学系；广东广州510090；广东广州510640；

出版日期:2002-03-01 发布日期:2002-03-01

The Fitness Selection about Evolutionary Algorithms For Multiobjective Optimization

(1.Dept.of Automatic Engineering,South China University of Technology,Guangzhou 510640,China; 2.Dept.of Applied Mathematics,GDUT,Guangzhou 510090,China)

Online:2002-03-01 Published:2002-03-01

摘要/Abstract

摘要： 评述了多目标最优化进化算法适应值分配和选择机制 ,分析了该领域几种典型算法采用的适应值函数和选择方法的优缺点提出了个体适应值分配和选择的新思路

刘海林；刘永清； . 多目标最优化进化算法中适应性的选择[J]. 广东工业大学学报, 2002, 19(1): 7-10.

LIU Hai lin 1?2 ,LIU Yong qing 1 . The Fitness Selection about Evolutionary Algorithms For Multiobjective Optimization[J]. Journal of Guangdong University of Technology, 2002, 19(1): 7-10.

[1] P. Hajela,C. -Y. Lin. Genetic search strategies in multicriterion optimal design[J] ,1992

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[2] Leung Y W,Wang Y P.Multiobjective programming using uniform design and genetic algorithm. IEEE Transactions on Systems Man and Cybernetics . 2000

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