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Hybrid Multipopulation Cellular Genetic Algorithm and Its Performance

Li Ming Lu Yuming Jie Lilin

南京航空航天大学学报(英文版)2014,Vol.31Issue(4):405-412,8.
南京航空航天大学学报(英文版)2014,Vol.31Issue(4):405-412,8.

Hybrid Multipopulation Cellular Genetic Algorithm and Its Performance

Hybrid Multipopulation Cellular Genetic Algorithm and Its Performance

Li Ming 1Lu Yuming 2Jie Lilin1

作者信息

  • 1. Key Laboratory of Nondestructive Testing, Ministry of Education,Nanchang Hangkong University, Nanchang, 330063, P.R.China
  • 2. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, P.R.China
  • 折叠

摘要

关键词

cellular genetic algorithm/particle swarm optimization/multispecies/selection pressure/diversity

Key words

cellular genetic algorithm/particle swarm optimization/multispecies/selection pressure/diversity

分类

数理科学

引用本文复制引用

Li Ming,Lu Yuming,Jie Lilin..Hybrid Multipopulation Cellular Genetic Algorithm and Its Performance[J].南京航空航天大学学报(英文版),2014,31(4):405-412,8.

基金项目

Supported by National Natural Science Foundation of China (61262019) (61262019)

the Aeronautical Science Foundation of China (2012ZA56001) (2012ZA56001)

the Natural Science Foundation of Jiangxi Province (20114BAB201046) (20114BAB201046)

the Science and Technology Research Project of Jiangxi Provincial Department of Education (GJJ12435) (GJJ12435)

and the Open-End Foundation of the Key Laboratory of Nondestructive Testing (Ministry of Education). (Ministry of Education)

南京航空航天大学学报(英文版)

OACSCD

1005-1120

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