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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)
Department信息服务与智能控制技术研究室
Conference Name2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
Conference DateJune 8-12, 2015
Conference PlaceShenyang, China
Source Publication2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
PublisherIEEE
Publication PlacePiscataway, NJ, USA
2015
Pages121-126
Indexed ByEI ; CPCI(ISTP)
EI Accession number20161402187913
WOS IDWOS:000380502300028
Contribution Rank1
ISSN2379-7711
ISBN978-1-4799-8730-6
KeywordBio-inspired Optimization Algorithm Dynamics Modle Swarm Dynamics Population Dynamics
AbstractThrough 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.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/17373
Collection信息服务与智能控制技术研究室
AffiliationLaboratory of Information Service and Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences Shenyang, Shenyang, China
Recommended Citation
GB/T 7714
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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