Lanzhou University of Technology Institutional Repository (LUT_IR)
A collaborative LSHADE algorithm with comprehensive learning mechanism | |
Zhao, Fuqing1; Zhao, Lexi1; Wang, Ling2; Song, Houbin1 | |
2020-11 | |
发表期刊 | Applied Soft Computing Journal |
ISSN | 15684946 |
卷号 | 96 |
摘要 | In this study, a novel L-SHADE variant with collaborative scheme and comprehensive learning mechanism, named LSHADE-CLM, was proposed to improve the exploration and exploitation capabilities of the L-SHADE algorithm. In LSHADE-CLM, a novel cooperative mutation mechanism including "DEcurrent−to−pbetterr" and "DEcurrent−to−pbest−w1" is proposed in the mutation operation. In the "DEcurrent−to−pbetterr" strategy with comprehensive learning mechanism, the population covariance matrix is utilized to generate candidate solutions and guide the search direction. Meanwhile, a competitive reward mechanism is implemented to control the mutation factor F to generate a trial vector for the cooperative mechanism. Moreover, the dimensional reset strategy is applied to enhance the diversity of the population at the dimensional level when stagnation is identified at certain dimension. The proposed LSHADE-CLM is tested on the CEC2017 benchmark functions and compared with the other four state-of-the-art variants of L-SHADE. The experimental results demonstrated that the efficiency and effectiveness of the LSHADE-CLM algorithm for the non-separable optimization problem. © 2020 Elsevier B.V. |
关键词 | Covariance matrix Benchmark functions Comprehensive learning Cooperative mechanisms Cooperative mutations Exploration and exploitation Mutation operations Optimization problems State of the art |
DOI | 10.1016/j.asoc.2020.106609 |
收录类别 | SCI ; SCIE ; EI |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications |
WOS记录号 | WOS:000582762000033 |
出版者 | Elsevier Ltd |
EI入藏号 | 20203609131650 |
EI主题词 | Learning algorithms |
EI分类号 | 921 Mathematics |
来源库 | Compendex |
分类代码 | 921 Mathematics |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/115443 |
专题 | 国际合作处(港澳台办) 研究生院 |
通讯作者 | Zhao, Fuqing |
作者单位 | 1.Lanzhou Univ Technol, Sch Comp & Commun Technol, Lanzhou 730050, Peoples R China; 2.Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China |
第一作者单位 | 兰州理工大学 |
通讯作者单位 | 兰州理工大学 |
第一作者的第一单位 | 兰州理工大学 |
推荐引用方式 GB/T 7714 | Zhao, Fuqing,Zhao, Lexi,Wang, Ling,et al. A collaborative LSHADE algorithm with comprehensive learning mechanism[J]. Applied Soft Computing Journal,2020,96. |
APA | Zhao, Fuqing,Zhao, Lexi,Wang, Ling,&Song, Houbin.(2020).A collaborative LSHADE algorithm with comprehensive learning mechanism.Applied Soft Computing Journal,96. |
MLA | Zhao, Fuqing,et al."A collaborative LSHADE algorithm with comprehensive learning mechanism".Applied Soft Computing Journal 96(2020). |
条目包含的文件 | 条目无相关文件。 |
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