中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An bio-inspired complex system dynamic optimization decision method

文献类型:会议论文

作者Shen H(申海); Zhu YL(朱云龙); Chen HN(陈瀚宁); Zhang DY(张丁一)
出版日期2015
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
关键词bio-inspired optimization algorithm dynamics modle swarm dynamics population dynamics
页码121-126
中文摘要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.
收录类别EI ; CPCI(ISTP)
产权排序1
会议录2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议录出版者IEEE
会议录出版地Piscataway, NJ, USA
语种英语
ISSN号2379-7711
ISBN号978-1-4799-8730-6
WOS记录号WOS:000380502300028
源URL[http://ir.sia.cn/handle/173321/17373]  
专题沈阳自动化研究所_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,Zhu YL,Chen HN,et al. An bio-inspired complex system dynamic optimization decision method[C]. 见:2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). Shenyang, China. June 8-12, 2015.

入库方式: OAI收割

来源:沈阳自动化研究所

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