Analytical and empirical study of particle swarm optimization with a sigmoid decreasing inertia weight
The particle swarm optimization (PSO) is an algorithm for finding optimal regions of complex search space through interaction of individuals in a population of particles. Search is conducted by moving particles in the space. Some methods area attempted to improve performance of PSO since is founded,...
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| Format: | Article |
| Language: | English |
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School of Postgraduate Studies, UTM
2006
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| Online Access: | http://eprints.utm.my/1690/1/sham06_Analytical_study.pdf |
| _version_ | 1796853287226441728 |
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| author | Adriansyah, Andi H. M. Amin, Shamsudin |
| author_facet | Adriansyah, Andi H. M. Amin, Shamsudin |
| author_sort | Adriansyah, Andi |
| collection | ePrints |
| description | The particle swarm optimization (PSO) is an algorithm for finding optimal regions of complex search space through interaction of individuals in a population of particles. Search is conducted by moving particles in the space. Some methods area attempted to improve performance of PSO since is founded, including linearly decreasing inertia weight. The present paper proposes a new variation of PSO model where inertia weight is sigmoid decreasing, called as Sigmoid Decreasing Inertia Weight. Performances of the PSO with a SDIW are studied analytically and empirically. The exploration–exploitation tradeoff is discussed and illustrated, as well. Four different benchmark functions with asymmetric initial range settings are selected as testing functions. The experimental results illustrate the advantage of SDIW that may improve PSO performance significantly. |
| first_indexed | 2024-03-05T17:57:17Z |
| format | Article |
| id | utm.eprints-1690 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T17:57:17Z |
| publishDate | 2006 |
| publisher | School of Postgraduate Studies, UTM |
| record_format | dspace |
| spelling | utm.eprints-16902011-05-19T04:55:00Z http://eprints.utm.my/1690/ Analytical and empirical study of particle swarm optimization with a sigmoid decreasing inertia weight Adriansyah, Andi H. M. Amin, Shamsudin TK Electrical engineering. Electronics Nuclear engineering The particle swarm optimization (PSO) is an algorithm for finding optimal regions of complex search space through interaction of individuals in a population of particles. Search is conducted by moving particles in the space. Some methods area attempted to improve performance of PSO since is founded, including linearly decreasing inertia weight. The present paper proposes a new variation of PSO model where inertia weight is sigmoid decreasing, called as Sigmoid Decreasing Inertia Weight. Performances of the PSO with a SDIW are studied analytically and empirically. The exploration–exploitation tradeoff is discussed and illustrated, as well. Four different benchmark functions with asymmetric initial range settings are selected as testing functions. The experimental results illustrate the advantage of SDIW that may improve PSO performance significantly. School of Postgraduate Studies, UTM 2006-07-26 Article NonPeerReviewed application/pdf en http://eprints.utm.my/1690/1/sham06_Analytical_study.pdf Adriansyah, Andi and H. M. Amin, Shamsudin (2006) Analytical and empirical study of particle swarm optimization with a sigmoid decreasing inertia weight. Regional Postgraduate Conference on Engineering and Science . pp. 247-252. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Adriansyah, Andi H. M. Amin, Shamsudin Analytical and empirical study of particle swarm optimization with a sigmoid decreasing inertia weight |
| title | Analytical and empirical study of particle swarm optimization with a sigmoid decreasing inertia weight |
| title_full | Analytical and empirical study of particle swarm optimization with a sigmoid decreasing inertia weight |
| title_fullStr | Analytical and empirical study of particle swarm optimization with a sigmoid decreasing inertia weight |
| title_full_unstemmed | Analytical and empirical study of particle swarm optimization with a sigmoid decreasing inertia weight |
| title_short | Analytical and empirical study of particle swarm optimization with a sigmoid decreasing inertia weight |
| title_sort | analytical and empirical study of particle swarm optimization with a sigmoid decreasing inertia weight |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/1690/1/sham06_Analytical_study.pdf |
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