Hybridizing harmony search with biogeography based optimization for global numerical optimization
文献类型：期刊论文
| 作者 | Liu L.; Liu L.; Wang H.; Wang H.; Wang H.; Wang H.; Wang G.
|
| 刊名 | Journal of Computational and Theoretical Nanoscience
 |
| 出版日期 | 2013 |
| 卷号 | 10期号:10 |
| ISSN号 | ISBN/15461955 |
| 英文摘要 | A novel robust hybrid meta-heuristic optimization approach, which can be considered as an improvement of the recently developed biogeography based optimization, namely HSBBO, is proposed to solve global numerical optimization problem. HSBBO combines the exploration of harmony search (HS) with the exploitation of BBO effectively, and hence it can generate the promising candidate solutions. The detailed implementation procedure for this improved meta-heuristic method is also described. Fourteen standard benchmark functions are applied to verify the effects of these improvements and it is demonstrated that, in most situations, the performance of this hybrid meta-heuristic method (HSBBO) is superior to or at least highly competitive with the standard BBO and other population-based optimization methods, such as ACO, BBO, DE, ES, GA, HS, PBIL, PSO and SGA. The effect of the HSBBO parameters is also analyzed. Copyright 2013 American Scientific Publishers. |
| 收录类别 | SCI ; EI |
| 公开日期 | 2014-05-14 |
| 源URL | [http://ir.ciomp.ac.cn/handle/181722/40696]  |
| 专题 | 长春光学精密机械与物理研究所_中科院长春光机所知识产出 |
| 推荐引用方式 GB/T 7714 | Liu L.,Liu L.,Wang H.,et al. Hybridizing harmony search with biogeography based optimization for global numerical optimization[J]. Journal of Computational and Theoretical Nanoscience,2013,10(10). |
| APA | Liu L..,Liu L..,Wang H..,Wang H..,Wang H..,...&Wang G..(2013).Hybridizing harmony search with biogeography based optimization for global numerical optimization.Journal of Computational and Theoretical Nanoscience,10(10). |
| MLA | Liu L.,et al."Hybridizing harmony search with biogeography based optimization for global numerical optimization".Journal of Computational and Theoretical Nanoscience 10.10(2013). |
入库方式： OAI收割
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。