An electronic transition-based bare bones particle swarm optimization algorithm for high dimensional optimization problems.
An electronic transition-based bare bones particle swarm optimization (ETBBPSO) algorithm is proposed in this paper. The ETBBPSO is designed to present high precision results for high dimensional single-objective optimization problems. Particles in the ETBBPSO are divided into different orbits. A tr...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0271925 |
| _version_ | 1811221982982701056 |
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| author | Hao Tian Jia Guo Haiyang Xiao Ke Yan Yuji Sato |
| author_facet | Hao Tian Jia Guo Haiyang Xiao Ke Yan Yuji Sato |
| author_sort | Hao Tian |
| collection | DOAJ |
| description | An electronic transition-based bare bones particle swarm optimization (ETBBPSO) algorithm is proposed in this paper. The ETBBPSO is designed to present high precision results for high dimensional single-objective optimization problems. Particles in the ETBBPSO are divided into different orbits. A transition operator is proposed to enhance the global search ability of ETBBPSO. The transition behavior of particles gives the swarm more chance to escape from local minimums. In addition, an orbit merge operator is proposed in this paper. An orbit with low search ability will be merged by an orbit with high search ability. Extensive experiments with CEC2014 and CEC2020 are evaluated with ETBBPSO. Four famous population-based algorithms are also selected in the control group. Experimental results prove that ETBBPSO can present high precision results for high dimensional single-objective optimization problems. |
| first_indexed | 2024-04-12T08:09:32Z |
| format | Article |
| id | doaj.art-db1788bac329424495ab1f2be43702e5 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-12T08:09:32Z |
| publishDate | 2022-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-db1788bac329424495ab1f2be43702e52022-12-22T03:41:01ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01177e027192510.1371/journal.pone.0271925An electronic transition-based bare bones particle swarm optimization algorithm for high dimensional optimization problems.Hao TianJia GuoHaiyang XiaoKe YanYuji SatoAn electronic transition-based bare bones particle swarm optimization (ETBBPSO) algorithm is proposed in this paper. The ETBBPSO is designed to present high precision results for high dimensional single-objective optimization problems. Particles in the ETBBPSO are divided into different orbits. A transition operator is proposed to enhance the global search ability of ETBBPSO. The transition behavior of particles gives the swarm more chance to escape from local minimums. In addition, an orbit merge operator is proposed in this paper. An orbit with low search ability will be merged by an orbit with high search ability. Extensive experiments with CEC2014 and CEC2020 are evaluated with ETBBPSO. Four famous population-based algorithms are also selected in the control group. Experimental results prove that ETBBPSO can present high precision results for high dimensional single-objective optimization problems.https://doi.org/10.1371/journal.pone.0271925 |
| spellingShingle | Hao Tian Jia Guo Haiyang Xiao Ke Yan Yuji Sato An electronic transition-based bare bones particle swarm optimization algorithm for high dimensional optimization problems. PLoS ONE |
| title | An electronic transition-based bare bones particle swarm optimization algorithm for high dimensional optimization problems. |
| title_full | An electronic transition-based bare bones particle swarm optimization algorithm for high dimensional optimization problems. |
| title_fullStr | An electronic transition-based bare bones particle swarm optimization algorithm for high dimensional optimization problems. |
| title_full_unstemmed | An electronic transition-based bare bones particle swarm optimization algorithm for high dimensional optimization problems. |
| title_short | An electronic transition-based bare bones particle swarm optimization algorithm for high dimensional optimization problems. |
| title_sort | electronic transition based bare bones particle swarm optimization algorithm for high dimensional optimization problems |
| url | https://doi.org/10.1371/journal.pone.0271925 |
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