An improved group search optimizer for mechanical design optimization problems
文献类型:期刊论文
作者 | Zhu YL(朱云龙)![]() |
刊名 | Progress in Natural Science
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出版日期 | 2009 |
卷号 | 19期号:1页码:91-97 |
关键词 | Mechanical optimization problem GSO Constrained optimization problem |
ISSN号 | 1002-0071 |
产权排序 | 1 |
中文摘要 | This paper presents an improved group search optimizer (iGSO) for solving mechanical design optimization problems. In the proposed algorithm, subpopulations and a co-operation evolutionary strategy were adopted to improve the global search capability and convergence performance. The iGSO is evaluated on two optimization problems of classical mechanical design: spring and pressure vessel. The experimental results are analyzed in comparison with those reported in the literatures. The results show that iGSO has much better convergence performance and is easier to implement in comparison with other existing evolutionary algorithms. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Materials Science, Multidisciplinary ; Multidisciplinary Sciences |
研究领域[WOS] | Materials Science ; Science & Technology - Other Topics |
关键词[WOS] | PARTICLE SWARM OPTIMIZATION ; GENETIC ALGORITHMS ; EVOLUTIONARY ; SIMULATION |
收录类别 | SCI |
资助信息 | supported by the National Natural Science Foundation of China (Grant No.70431003);; the High-Tech Research and Development Program of China (Grant No.20060104A1118);; the Science and Technology Supporting Program of China (Grant No.2006BAH02A09);; the Abroad Preeminence Scholar Fund of Chinese Academy of Sciences (Grant No.2006-1-8) |
语种 | 英语 |
WOS记录号 | WOS:000261837000012 |
公开日期 | 2012-05-29 |
源URL | [http://ir.sia.ac.cn/handle/173321/7062] ![]() |
专题 | 沈阳自动化研究所_工业信息学研究室 |
推荐引用方式 GB/T 7714 | Zhu YL. An improved group search optimizer for mechanical design optimization problems[J]. Progress in Natural Science,2009,19(1):91-97. |
APA | Zhu YL.(2009).An improved group search optimizer for mechanical design optimization problems.Progress in Natural Science,19(1),91-97. |
MLA | Zhu YL."An improved group search optimizer for mechanical design optimization problems".Progress in Natural Science 19.1(2009):91-97. |
入库方式: OAI收割
来源:沈阳自动化研究所
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