An Enhanced Partial Search to Particle Swarm Optimization for Unconstrained Optimization
Particle swarm optimization (PSO) is a population-based optimization technique that has been applied extensively to a wide range of engineering problems. This paper proposes a variation of the original PSO algorithm for unconstrained optimization, dubbed the enhanced partial search particle swarm op...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-04-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/7/4/357 |
| _version_ | 1828943494561923072 |
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| author | Shu-Kai S. Fan Chih-Hung Jen |
| author_facet | Shu-Kai S. Fan Chih-Hung Jen |
| author_sort | Shu-Kai S. Fan |
| collection | DOAJ |
| description | Particle swarm optimization (PSO) is a population-based optimization technique that has been applied extensively to a wide range of engineering problems. This paper proposes a variation of the original PSO algorithm for unconstrained optimization, dubbed the enhanced partial search particle swarm optimizer (EPS-PSO), using the idea of cooperative multiple swarms in an attempt to improve the convergence and efficiency of the original PSO algorithm. The cooperative searching strategy is particularly devised to prevent the particles from being trapped into the local optimal solutions and tries to locate the global optimal solution efficiently. The effectiveness of the proposed algorithm is verified through the simulation study where the EPS-PSO algorithm is compared to a variety of exiting “cooperative„ PSO algorithms in terms of noted benchmark functions. |
| first_indexed | 2024-12-14T04:16:12Z |
| format | Article |
| id | doaj.art-25deafb48bc64ddd9137008b03b4fb35 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-12-14T04:16:12Z |
| publishDate | 2019-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-25deafb48bc64ddd9137008b03b4fb352022-12-21T23:17:32ZengMDPI AGMathematics2227-73902019-04-017435710.3390/math7040357math7040357An Enhanced Partial Search to Particle Swarm Optimization for Unconstrained OptimizationShu-Kai S. Fan0Chih-Hung Jen1Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei City 10608, TaiwanDepartment of Information Management, Lunghwa University of Science and Technology, Guishan, Taoyuan County 33306, TaiwanParticle swarm optimization (PSO) is a population-based optimization technique that has been applied extensively to a wide range of engineering problems. This paper proposes a variation of the original PSO algorithm for unconstrained optimization, dubbed the enhanced partial search particle swarm optimizer (EPS-PSO), using the idea of cooperative multiple swarms in an attempt to improve the convergence and efficiency of the original PSO algorithm. The cooperative searching strategy is particularly devised to prevent the particles from being trapped into the local optimal solutions and tries to locate the global optimal solution efficiently. The effectiveness of the proposed algorithm is verified through the simulation study where the EPS-PSO algorithm is compared to a variety of exiting “cooperative„ PSO algorithms in terms of noted benchmark functions.https://www.mdpi.com/2227-7390/7/4/357particle swarm optimization (PSO)multiple swarmscooperative search |
| spellingShingle | Shu-Kai S. Fan Chih-Hung Jen An Enhanced Partial Search to Particle Swarm Optimization for Unconstrained Optimization Mathematics particle swarm optimization (PSO) multiple swarms cooperative search |
| title | An Enhanced Partial Search to Particle Swarm Optimization for Unconstrained Optimization |
| title_full | An Enhanced Partial Search to Particle Swarm Optimization for Unconstrained Optimization |
| title_fullStr | An Enhanced Partial Search to Particle Swarm Optimization for Unconstrained Optimization |
| title_full_unstemmed | An Enhanced Partial Search to Particle Swarm Optimization for Unconstrained Optimization |
| title_short | An Enhanced Partial Search to Particle Swarm Optimization for Unconstrained Optimization |
| title_sort | enhanced partial search to particle swarm optimization for unconstrained optimization |
| topic | particle swarm optimization (PSO) multiple swarms cooperative search |
| url | https://www.mdpi.com/2227-7390/7/4/357 |
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