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Optimization algorithm based on biology life cycle theory
Shen H(申海); Niu B(牛奔); Zhu YL(朱云龙); Chen HN(陈瀚宁)
作者部门信息服务与智能控制技术研究室
会议名称9th International Conference on Intelligent Computing, ICIC 2013
会议日期July 28-31, 2013
会议地点Nanning, China
会议主办者IEEE Computational Intelligence Society; International Neural Network Society; National Science Foundation of China
会议录名称Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
出版者Springer Verlag
出版地Heidelberg, Germany
2013
页码561-570
收录类别EI
EI收录号20133616695297
产权排序3
ISSN号0302-9743
ISBN号978-3-642-39481-2
关键词Intelligent Computing Life Cycle Optimization
摘要Bio-inspired optimization algorithms have been widely used to solve various scientific and engineering problems. Inspired by biology life cycle, this paper presents a novel optimization algorithm called Lifecycle-based Swarm Optimization. LSO algorithm simulates biologic life cycle process through six optimization operators: chemotactic, assimilation, transposition, crossover, selection and mutation. Experiments were conducted on 7 unimodal functions. The results demonstrate remarkable performance of the LSO algorithm on those functions when compared to several successful optimization techniques. © 2013 Springer-Verlag.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/12401
专题信息服务与智能控制技术研究室
推荐引用方式
GB/T 7714
Shen H,Niu B,Zhu YL,et al. Optimization algorithm based on biology life cycle theory[C]//IEEE Computational Intelligence Society; International Neural Network Society; National Science Foundation of China. Heidelberg, Germany:Springer Verlag,2013:561-570.
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