| Presentation | 2015-03-05 A Particle Swarm Optimization Considering Conflated Component of Personal and Global Best Positions Keita SUEYASU, Ryosuke KUBOTA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A particle swarm optimization (PSO), which is included in swarm intelligence, is one of the population-based stochastic optimization techniques. The motivation of the PSO is based on social behavior of fish schooling, bird flocking and so on. The PSO is attractive due to the simplicity of its concept and the facility for the applications to diverse optimization problems. Furthermore, the searching performance of the PSO has been improved by many researchers. However, it can not be said that the searching performances of the traditional PSOs are always satisfactory for various optimization problems. In this paper, we propose a new PSO considering a conflated component, which is generated from the personal and the global best positions of the particles in the searching space. The effectiveness and the validity of the proposed PSO are verified by applying it to the some benchmarks of the continuous variable optimization problems. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Swarm intelligence / particle swarm optimization (PSO) / continuous variable optimization problem |
| Paper # | SIS2014-94 |
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| Committee | SIS |
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| Conference Date | 2015/2/26(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Smart Info-Media Systems (SIS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Particle Swarm Optimization Considering Conflated Component of Personal and Global Best Positions |
| Sub Title (in English) | |
| Keyword(1) | Swarm intelligence |
| Keyword(2) | particle swarm optimization (PSO) |
| Keyword(3) | continuous variable optimization problem |
| 1st Author's Name | Keita SUEYASU |
| 1st Author's Affiliation | Department of Intelligent System Engineering, National Institute of Technology, Ube College() |
| 2nd Author's Name | Ryosuke KUBOTA |
| 2nd Author's Affiliation | Department of Intelligent System Engineering, National Institute of Technology, Ube College |
| Date | 2015-03-05 |
| Paper # | SIS2014-94 |
| Volume (vol) | vol.114 |
| Number (no) | 496 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |