中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Affinity genetic algorithm

文献类型:期刊论文

作者Zhao, Xinchao; Gao, Xiao-Shan
刊名JOURNAL OF HEURISTICS
出版日期2007-04-01
卷号13期号:2页码:133-150
关键词genetic algorithm selection degree individual flowing population diversity global optimization
ISSN号1381-1231
DOI10.1007/s10732-006-9005-z
英文摘要Based on some phenomena from human society and nature, we propose a binary affinity genetic algorithm (aGA) by adopting the following strategies: the population is adaptively updated to avoid stagnation; the newly generated individuals will be ensured to survive for some generations in order for them to have time to show their good genes; new individuals and the old ones are balanced to have the advantages of both. In order to quantitatively analyze the selective pressure, the concept of selection degree and a simple linear control equation are introduced. We can maintain the diversity of the evolutionary population by controlling the value of the selection degree. Performance of aGA is further enhanced by incorporating local search strategies.
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000244682400003
出版者SPRINGER
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/4342]  
专题中国科学院数学与系统科学研究院
通讯作者Zhao, Xinchao
作者单位1.Beijing Univ Posts & Telecommun, Sch Sci, Beijing 100876, Peoples R China
2.Acad Sinica, AMSS, KLMM, Inst Syst Sci, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Zhao, Xinchao,Gao, Xiao-Shan. Affinity genetic algorithm[J]. JOURNAL OF HEURISTICS,2007,13(2):133-150.
APA Zhao, Xinchao,&Gao, Xiao-Shan.(2007).Affinity genetic algorithm.JOURNAL OF HEURISTICS,13(2),133-150.
MLA Zhao, Xinchao,et al."Affinity genetic algorithm".JOURNAL OF HEURISTICS 13.2(2007):133-150.

入库方式: OAI收割

来源:数学与系统科学研究院

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