A Two-layer Encoding Learning Swarm Optimizer based on Frequent Itemsets for Sparse Large-scale Multi-objective Optimization
文献类型：期刊论文
| 作者 | Sheng Qi; Rui Wang; Tao Zhang; Xu Yang ; Ruiqing Sun; Ling Wang
|
| 刊名 | IEEE/CAA Journal of Automatica Sinica
 |
| 出版日期 | 2024 |
| 卷号 | 11期号:6页码:1342-1357 |
| 关键词 | Evolutionary algorithms learning swarm optimization sparse large-scale optimization sparse large-scale multi-objective problems two-layer encoding |
| ISSN号 | 2329-9266 |
| DOI | 10.1109/JAS.2024.124341 |
| 英文摘要 | Traditional large-scale multi-objective optimization algorithms (LSMOEAs) encounter difficulties when dealing with sparse large-scale multi-objective optimization problems (SLMOPs) where most decision variables are zero. As a result, many algorithms use a two-layer encoding approach to optimize binary variable Mask and real variable Dec separately. Nevertheless, existing optimizers often focus on locating non-zero variable positions to optimize the binary variables Mask. However, approximating the sparse distribution of real Pareto optimal solutions does not necessarily mean that the objective function is optimized. In data mining, it is common to mine frequent itemsets appearing together in a dataset to reveal the correlation between data. Inspired by this, we propose a novel two-layer encoding learning swarm optimizer based on frequent itemsets (TELSO) to address these SLMOPs. TELSO mined the frequent terms of multiple particles with better target values to find mask combinations that can obtain better objective values for fast convergence. Experimental results on five real-world problems and eight benchmark sets demonstrate that TELSO outperforms existing state-of-the-art sparse large-scale multi-objective evolutionary algorithms (SLMOEAs) in terms of performance and convergence speed. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/56453]  |
| 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 | Sheng Qi,Rui Wang,Tao Zhang,et al. A Two-layer Encoding Learning Swarm Optimizer based on Frequent Itemsets for Sparse Large-scale Multi-objective Optimization[J]. IEEE/CAA Journal of Automatica Sinica,2024,11(6):1342-1357. |
| APA | Sheng Qi,Rui Wang,Tao Zhang,Xu Yang,Ruiqing Sun,&Ling Wang.(2024).A Two-layer Encoding Learning Swarm Optimizer based on Frequent Itemsets for Sparse Large-scale Multi-objective Optimization.IEEE/CAA Journal of Automatica Sinica,11(6),1342-1357. |
| MLA | Sheng Qi,et al."A Two-layer Encoding Learning Swarm Optimizer based on Frequent Itemsets for Sparse Large-scale Multi-objective Optimization".IEEE/CAA Journal of Automatica Sinica 11.6(2024):1342-1357. |
入库方式： OAI收割
来源：自动化研究所
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