| Presentation | 2011-06-24 The Search Performance of Particle Swarm Optimizer with Inertia Weight for Solving Multi-objective Optimization Problems Hong ZHANG, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper we investigate the search performance of a particle swarm optimizer with inertia weight (PSOIW) for solving multi-objective optimization problems. Due to obtain high search performance, we propose a new optimizer, called PSOIWα, which realizes a combination between a local random search and the PSOIW. To demonstrate the effectiveness of the proposal, computer experiments on a suite of 2-objective optimization benchmark problems are carried out by three kind of dynamically weighted aggregation methods. We show the obtained Pareto solutions corresponding to each given problem, and clarify the search characteristics and performance effect of the PSOIWα. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | particle swarm optimization / multi-objective optimization problem / multi-criteria / weighted aggregation / localized random search |
| Paper # | NC2011-17 |
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| Committee | NC |
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| Conference Date | 2011/6/16(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | The Search Performance of Particle Swarm Optimizer with Inertia Weight for Solving Multi-objective Optimization Problems |
| Sub Title (in English) | |
| Keyword(1) | particle swarm optimization |
| Keyword(2) | multi-objective optimization problem |
| Keyword(3) | multi-criteria |
| Keyword(4) | weighted aggregation |
| Keyword(5) | localized random search |
| 1st Author's Name | Hong ZHANG |
| 1st Author's Affiliation | Graduate School of Life Science & Systems Engineering, Kyushu Institute of Technology() |
| Date | 2011-06-24 |
| Paper # | NC2011-17 |
| Volume (vol) | vol.111 |
| Number (no) | 96 |
| Page | pp.pp.- |
| #Pages | 6 |
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