A knee point-driven many-objective pigeon-inspired optimization algorithm
文献类型：期刊论文
| 作者 | Zhao, Lihong2; Ren, Yeqing1; Zeng, Youqian2; Cui, Zhihua2; Zhang, Wensheng3
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| 刊名 | COMPLEX & INTELLIGENT SYSTEMS
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| 出版日期 | 2022-03-31 |
| 页码 | 23 |
| ISSN号 | 2199-4536 |
| 关键词 | Knee point Knee-oriented dominance Many-objective optimization Pigeon-inspired algorithm Preference |
| DOI | 10.1007/s40747-022-00706-9 |
| 通讯作者 | Cui, Zhihua(cuizhihua@tyust.edu.cn) |
| 英文摘要 | The number of solutions obtained is too large to provide a set of solutions with good performance in the nearby area of the true Pareto front when problem-specific preferences are unavailable. Therefore, this paper proposes a knee point-driven many-objective pigeon-inspired optimization algorithm (KnMAPIO). An environmental selection strategy based on knee-oriented dominance is proposed to improve selection pressure and population diversity. In addition, a new velocity updating equation with Gaussian distribution, Cauchy distribution and Levy distribution is proposed in this paper to provide new search directions and reduce the possibility of falling into local optima. Two types of experiments are carried out in this paper: one is to compare the proposed method with four other algorithms on the knee-oriented benchmark PMOPs to verify the algorithm's performance in detecting the knee points and the knee region; another is to compare the proposed method with eight other state-of-the-art algorithms on the classic benchmark DTLZ and WFG. The results of both experiments verify the effectiveness of the proposed algorithm and the ability to approximate to the true Pareto front. |
| WOS关键词 | PARTICLE SWARM OPTIMIZATION ; MULTIOBJECTIVE EVOLUTIONARY ALGORITHM ; COLONY |
| 资助项目 | National Key Research and Development Program of China[2018YFC1604000] ; National Natural Science Foundation of China[61806138] ; National Natural Science Foundation of China[61772478] ; National Natural Science Foundation of China[U1636220] ; National Natural Science Foundation of China[61961160707] ; National Natural Science Foundation of China[61976212] ; Key R&D program of Shanxi Province (High Technology)[201903D121119] ; Key R&D program of Shanxi Province (International Cooperation)[201903D421048] ; Key R&D program (international science and technology cooperation project) of Shanxi Province[201903D421003] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| 出版者 | SPRINGER HEIDELBERG |
| WOS记录号 | WOS:000777366100002 |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; Key R&D program of Shanxi Province (High Technology) ; Key R&D program of Shanxi Province (International Cooperation) ; Key R&D program (international science and technology cooperation project) of Shanxi Province |
| 源URL | [http://ir.ia.ac.cn/handle/173211/48271]  |
| 专题 | 精密感知与控制研究中心_人工智能与机器学习 |
| 通讯作者 | Cui, Zhihua |
| 作者单位 | 1.Beijing Univ Posts & Telecommun, Beijing, Peoples R China 2.Taiyuan Univ Sci & Technol, Sch Comp Sci & Technol, Taiyuan, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Intelligent Control & Management Co, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhao, Lihong,Ren, Yeqing,Zeng, Youqian,et al. A knee point-driven many-objective pigeon-inspired optimization algorithm[J]. COMPLEX & INTELLIGENT SYSTEMS,2022:23. |
| APA | Zhao, Lihong,Ren, Yeqing,Zeng, Youqian,Cui, Zhihua,&Zhang, Wensheng.(2022).A knee point-driven many-objective pigeon-inspired optimization algorithm.COMPLEX & INTELLIGENT SYSTEMS,23. |
| MLA | Zhao, Lihong,et al."A knee point-driven many-objective pigeon-inspired optimization algorithm".COMPLEX & INTELLIGENT SYSTEMS (2022):23. |
入库方式： OAI收割
来源：自动化研究所
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