| Presentation | 1998/3/19 Solving Large Traveling Salesman Problems Using Recurrent Neural Networks Syunji Kajitani, Kunikazu Kobayashi, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | It is difficult to solve large traveling salesman problems (TSPs) by recurrent neural networks (RNNs). Because computational cost and required memory space increase remarkably as the number of cities does and also the solutions are not practical. In this paper, the large TSPs are assumed that RNNs cannot provide us the practical solutions. An algorithm to solve the large TSPs is proposed. Introducing a clustering method, a large TSP is divided into small TSPs, which can be easily solved by RNNs. If necessary this process is continued recursively. Then, such small TSPs are solved by each RNN. Finally, a whole route of the large TSP is derived from combining the routes of small TSPs. Through computer experiments, it is verified that the proposed method is effective for large TSPs. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Traveling Salesman Problems / NP-hard / Recurrent Neural Network / Clustering |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 1998/3/19(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| 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) | Solving Large Traveling Salesman Problems Using Recurrent Neural Networks |
| Sub Title (in English) | |
| Keyword(1) | Traveling Salesman Problems |
| Keyword(2) | NP-hard |
| Keyword(3) | Recurrent Neural Network |
| Keyword(4) | Clustering |
| 1st Author's Name | Syunji Kajitani |
| 1st Author's Affiliation | Graduate School of Science & Engineering, Yamaguchi University() |
| 2nd Author's Name | Kunikazu Kobayashi |
| 2nd Author's Affiliation | Faculty of Engineering, Yamaguchi University |
| Date | 1998/3/19 |
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| Volume (vol) | vol.97 |
| Number (no) | 623 |
| Page | pp.pp.- |
| #Pages | 5 |
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