| Presentation | 2011-05-27 Ant Colony Optimization using Genetic Information for TSP Sho SHIMOMURA, Haruna MATSUSHITA, Yoshifumi NISHIO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This study proposes an Ant Colony Optimization using Genetic Information (GIACO). GIACO algorithm combines Ant Colony Optimization (ACO) with Genetic Algorithm (GA). GIACO searches solutions using the pheromone of ACO and the genetic information of GA. In addition, the ant which cannot trail the pheromone is caused by the mutation. We apply GIACO to Traveling Salesman Problems (TSPs) and confirm that GIACO obtains more effective results than the conventional ACO and the conventional GA. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Ant Colony Optimization / Genetic Algorithm / Traveling Salesman Problem / meta-heuristic |
| Paper # | NLP2011-23 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2011/5/19(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Nonlinear Problems (NLP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Ant Colony Optimization using Genetic Information for TSP |
| Sub Title (in English) | |
| Keyword(1) | Ant Colony Optimization |
| Keyword(2) | Genetic Algorithm |
| Keyword(3) | Traveling Salesman Problem |
| Keyword(4) | meta-heuristic |
| 1st Author's Name | Sho SHIMOMURA |
| 1st Author's Affiliation | Department of Electrical and Electronic Engineering Tokushima University() |
| 2nd Author's Name | Haruna MATSUSHITA |
| 2nd Author's Affiliation | Department of Reliability-based Information Systems Engineering, Kagawa University |
| 3rd Author's Name | Yoshifumi NISHIO |
| 3rd Author's Affiliation | Department of Electrical and Electronic Engineering Tokushima University |
| Date | 2011-05-27 |
| Paper # | NLP2011-23 |
| Volume (vol) | vol.111 |
| Number (no) | 62 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |