| Presentation | 2001/3/10 Analog neural approach based on cyclic permutation to quadratic assignment problem Shingo Yano, Hirotaka Niitsuma, Shin Ishii, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In order to solve large-scale combinatorial optimization problems, it is important for the algorithm to involve non-equilibrium dynamics that retrieve local minima one after another. Several methods based on permutation operations have been proposed. λ-DCN[3] is an analog neural method which simultaneously changes assignments for λ elements in a permutation. In this study, we propose an advanced method of λ-DCN, in which the basic search operation is a cyclic permutation. We show computer simulation results when applied to quadratic assignment problems. The results imply the applicability of our approach. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Quadratic assignment problem / λ-opt / neural networks / cyclic permutation |
| Paper # | NLP2000-165 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2001/3/10(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) | Analog neural approach based on cyclic permutation to quadratic assignment problem |
| Sub Title (in English) | |
| Keyword(1) | Quadratic assignment problem |
| Keyword(2) | λ-opt |
| Keyword(3) | neural networks |
| Keyword(4) | cyclic permutation |
| 1st Author's Name | Shingo Yano |
| 1st Author's Affiliation | Nara Institute of Science and Technology() |
| 2nd Author's Name | Hirotaka Niitsuma |
| 2nd Author's Affiliation | CREST, JST |
| 3rd Author's Name | Shin Ishii |
| 3rd Author's Affiliation | Nara Institute of Science and Technology:CREST, JST |
| Date | 2001/3/10 |
| Paper # | NLP2000-165 |
| Volume (vol) | vol.100 |
| Number (no) | 681 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |