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An bio-inspired complex system dynamic optimization decision method
Shen H(申海); Zhu YL(朱云龙); Chen HN(陈瀚宁); Zhang DY(张丁一)
作者部门信息服务与智能控制技术研究室
会议名称2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议日期June 8-12, 2015
会议地点Shenyang, China
会议录名称2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
出版者IEEE
出版地Piscataway, NJ, USA
2015
页码121-126
收录类别EI ; CPCI(ISTP)
EI收录号20161402187913
WOS记录号WOS:000380502300028
产权排序1
ISSN号2379-7711
ISBN号978-1-4799-8730-6
关键词Bio-inspired Optimization Algorithm Dynamics Modle Swarm Dynamics Population Dynamics
摘要Through the observation and study of social creatures, biologists and computing experts proposed many bio-inspired optimization algorithm based on simulated biological behavior. These algorithms show strong vitality and potential of further development in solving traditional NP and practical complex optimization problem. But most existing research results mainly focused on the use of biological behavior phenotypic mechanism to achieve the function optimization and engineering control, but the analysis of internal control mechanisms of biological behavior is not sufficient, it needs further research. Based on complex system dynamics model, this paper proposes a bio-inspired dynamics optimization decision method. This method combines the swarm dynamics model, population logistic growth model and three evolve elements. Based on the test of constrained optimization problems, experiment results indicate that this method is effective. Finally, conclusion and the further work are given.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/17373
专题信息服务与智能控制技术研究室
作者单位Laboratory of Information Service and Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences Shenyang, Shenyang, China
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Shen H,Zhu YL,Chen HN,et al. An bio-inspired complex system dynamic optimization decision method[C]. Piscataway, NJ, USA:IEEE,2015:121-126.
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