Presentation 1996/11/29
A Neural Network Algorithm for the Minimum Maximal Matching Problem
Shunji Umetani, Nobuo Funabiki, Seishi Nishikawa,
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Abstract(in English) For a given graph G(V,E), a subset M of E is called a matching of G if no pair of edges in M is adjacent to each other. In this paper, we present a neural network parallel algorithm for the minimum maximal matching problem. This NP-complete problem requires to find a maximal matching composed of the least number of edges in G. The neural network consists of N × N binary neurons for the N-vertex graph problem. In order to improve the solution quality, we present a heuristic term into the motion equation for diagonal neurons which represent the exclusion of vertices from the matching. We verify the performance through simulations using random graph, where our neural network finds better solutions than the greedy algorithm and the simulated annealing.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Minimum Maximal Matching / Neural Network / Binary Neuron / NP-complete / Graph
Paper # NC96-52
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Committee NC
Conference Date 1996/11/29(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Neural Network Algorithm for the Minimum Maximal Matching Problem
Sub Title (in English)
Keyword(1) Minimum Maximal Matching
Keyword(2) Neural Network
Keyword(3) Binary Neuron
Keyword(4) NP-complete
Keyword(5) Graph
1st Author's Name Shunji Umetani
1st Author's Affiliation Division of Informatics and Mathematical Science, Graduated School of Engineering Science, Osaka University()
2nd Author's Name Nobuo Funabiki
2nd Author's Affiliation Division of Informatics and Mathematical Science, Graduated School of Engineering Science, Osaka University
3rd Author's Name Seishi Nishikawa
3rd Author's Affiliation Division of Informatics and Mathematical Science, Graduated School of Engineering Science, Osaka University
Date 1996/11/29
Paper # NC96-52
Volume (vol) vol.96
Number (no) 393
Page pp.pp.-
#Pages 8
Date of Issue