A Multi-Layered Gravitational Search Algorithm for Function Optimization and Real-World Problems
文献类型：期刊论文
| 作者 | Yirui Wang; Shangce Gao; Mengchu Zhou; Yang Yu
|
| 刊名 | IEEE/CAA Journal of Automatica Sinica
 |
| 出版日期 | 2021 |
| 卷号 | 8期号:1页码:94-109 |
| 关键词 | Artificial intelligence exploration and exploitation gravitational search algorithm hierarchical interaction hierarchy machine learning population structure |
| ISSN号 | 2329-9266 |
| DOI | 10.1109/JAS.2020.1003462 |
| 英文摘要 | A gravitational search algorithm (GSA) uses gravitational force among individuals to evolve population. Though GSA is an effective population-based algorithm, it exhibits low search performance and premature convergence. To ameliorate these issues, this work proposes a multi-layered GSA called MLGSA. Inspired by the two-layered structure of GSA, four layers consisting of population, iteration-best, personal-best and global-best layers are constructed. Hierarchical interactions among four layers are dynamically implemented in different search stages to greatly improve both exploration and exploitation abilities of population. Performance comparison between MLGSA and nine existing GSA variants on twenty-nine CEC2017 test functions with low, medium and high dimensions demonstrates that MLGSA is the most competitive one. It is also compared with four particle swarm optimization variants to verify its excellent performance. Moreover, the analysis of hierarchical interactions is discussed to illustrate the influence of a complete hierarchy on its performance. The relationship between its population diversity and fitness diversity is analyzed to clarify its search performance. Its computational complexity is given to show its efficiency. Finally, it is applied to twenty-two CEC2011 real-world optimization problems to show its practicality. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/43899]  |
| 专题 | 自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica |
| 推荐引用方式 GB/T 7714 | Yirui Wang,Shangce Gao,Mengchu Zhou,et al. A Multi-Layered Gravitational Search Algorithm for Function Optimization and Real-World Problems[J]. IEEE/CAA Journal of Automatica Sinica,2021,8(1):94-109. |
| APA | Yirui Wang,Shangce Gao,Mengchu Zhou,&Yang Yu.(2021).A Multi-Layered Gravitational Search Algorithm for Function Optimization and Real-World Problems.IEEE/CAA Journal of Automatica Sinica,8(1),94-109. |
| MLA | Yirui Wang,et al."A Multi-Layered Gravitational Search Algorithm for Function Optimization and Real-World Problems".IEEE/CAA Journal of Automatica Sinica 8.1(2021):94-109. |
入库方式： OAI收割
来源：自动化研究所
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