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Affinity genetic algorithm
Zhao, Xinchao; Gao, Xiao-Shan
2007-04-01
发表期刊JOURNAL OF HEURISTICS
ISSN1381-1231
卷号13期号:2页码:133-150
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.
关键词genetic algorithm selection degree individual flowing population diversity global optimization
DOI10.1007/s10732-006-9005-z
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号WOS:000244682400003
出版者SPRINGER
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/4343
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
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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.
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