Lifecycle-based Swarm Optimization Method for Constrained optimization
文献类型：期刊论文
| 作者 | Shen H(申海); Zhu YL(朱云龙) ; Jin L(金莉); Haifeng Guo
|
| 刊名 | Journal of Computers
 |
| 出版日期 | 2011 |
| 卷号 | 6期号:5页码:913-922 |
| 关键词 | life cycle lifecycle-based swarm optimization constrained optimization penalty function |
| ISSN号 | 1796-203X |
| 产权排序 | 1 |
| 中文摘要 | Each biologic must go through a process from birth, growth, reproduction until death, this process known as life cycle. This paper borrows the biologic life cycle theory to propose a Lifecycle-based Swarm Optimization (LSO) algorithm. Based on some features of life cycle, LSO designs six optimization operators: chemotactic, assimilation, transposition, crossover, selection and mutation. In this paper, the capability of the LSO to address constrained optimization problem was investigated. Firstly, the proposed method was test on some well-known and widely used benchmark problems. When compared with PSO, we can see that LSO can obtain the better solution and lower standard deviation than PSO on many different types of constrained optimization problems. Finally, LSO was also used for seeking the optimal route for vehicle route problem in logistics system. The result of LSO is the best when comparing with PSO and GA. The results of above two types of experiments, which include not only the ordinary benchmark problem but also the practical problems in engineering, demonstrate that LSO is a competitive and effective approach for solving constrained problems. |
| 收录类别 | EI |
| 语种 | 英语 |
| 公开日期 | 2012-05-29 |
| 源URL | [http://ir.sia.cn/handle/173321/7084]  |
| 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 | Shen H,Zhu YL,Jin L,et al. Lifecycle-based Swarm Optimization Method for Constrained optimization[J]. Journal of Computers,2011,6(5):913-922. |
| APA | Shen H,Zhu YL,Jin L,&Haifeng Guo.(2011).Lifecycle-based Swarm Optimization Method for Constrained optimization.Journal of Computers,6(5),913-922. |
| MLA | Shen H,et al."Lifecycle-based Swarm Optimization Method for Constrained optimization".Journal of Computers 6.5(2011):913-922. |
入库方式： OAI收割
来源：沈阳自动化研究所
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