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
摘要
关键词
cellular genetic algorithm/particle swarm optimization/multispecies/selection pressure/diversityKey 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)