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)![]() ![]() |
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
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。