A novel particle swarm optimizer using optimal foraging theory | |
Niu B(牛奔); Zhu YL(朱云龙)![]() ![]() | |
2006 | |
会议名称 | International Conference on Intelligent Computing (ICIC) |
会议日期 | August 16-19, 2006 |
会议地点 | Kunming, China |
页码 | 61-71 |
中文摘要 | Based on the research of optimal foraging theory (OFT), we present a novel particle swarm optimizer (PSO) to improve the performance of standard PSO (SPSO). The resulting algorithm is known as PSOOFT that makes use of two mechanisms of OFT: a reproduction strategy to enhance the ability to converge rapidly to good solutions and a patch-choice based scheme to keep a right balance of exploration and exploitation. In the simulation studies, several benchmark functions are performed, and the performance of the proposed algorithm is compared to the standard PSO (SPSO). The experimental results show that the PSOOFT prevents premature convergence to a high degree, but still has a more rapid convergence rate than SPSO. |
收录类别 | SCI ; EI ; CPCI(ISTP) |
产权排序 | 1 |
会议主办者 | IEEE Computat Intelligence Soc, Int Neural Network Soc, Natl Sci Fdn China |
会议录 | COMPUTATIONAL INTELLIGENCE AND BIOINFORMATICS, PT 3, PROCEEDINGS
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会议录出版者 | SPRINGER-VERLAG |
会议录出版地 | BERLIN |
语种 | 英语 |
ISSN号 | 0302-9743 |
ISBN号 | 3-540-37277-6 |
WOS记录号 | WOS:000240085400007 |
研究领域[WOS] | Biochemistry & Molecular Biology ; Computer Science |
WOS标题词 | Science & Technology ; Life Sciences & Biomedicine ; Technology |
内容类型 | 会议论文 |
源URL | [http://ir.sia.cn/handle/173321/8158] ![]() |
专题 | 沈阳自动化研究所_工业信息学研究室_先进制造技术研究室 |
推荐引用方式 GB/T 7714 | Niu B,Zhu YL,Hu KY,et al. A novel particle swarm optimizer using optimal foraging theory[C]. 见:International Conference on Intelligent Computing (ICIC). Kunming, China. August 16-19, 2006. |
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