Presentation | 1997/10/7 Chaos Heuristic Search for Graph Partitioning Problem Masaya OHTA, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this report, a new algorithm for a combinatorial optimization problem using chaotic dynamics has been proposed. The method, in this report it's called Chaos Heuristic Search: CHS, has been derived from the Boltzmann Machine (BM) and the Chaotic Neural Network by Nozawa. It has been applied for a graph partitioning problem and confirmed its effectiveness. Then, the relation between chaotic dynamics and ability of optimization has been studied from comparison between CHS and BM experimentally. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | chaos / neural network / Boltzmann Machine / graph partitioning problem / heuristic search |
Paper # | NLP97-99-112 |
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Conference Information | |
Committee | NLP |
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Conference Date | 1997/10/7(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
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Chair | |
Vice Chair | |
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Assistant |
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) | Chaos Heuristic Search for Graph Partitioning Problem |
Sub Title (in English) | |
Keyword(1) | chaos |
Keyword(2) | neural network |
Keyword(3) | Boltzmann Machine |
Keyword(4) | graph partitioning problem |
Keyword(5) | heuristic search |
1st Author's Name | Masaya OHTA |
1st Author's Affiliation | Osaka Electro-Communication University() |
Date | 1997/10/7 |
Paper # | NLP97-99-112 |
Volume (vol) | vol.97 |
Number (no) | 301 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |