A more efficient algorithm for finding a maximum clique with an improved approximate coloring (数理モデル化と問題解決)
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概要
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We propose a new, practical, and exact algorithm for finding a maximum clique in a graph. The algorithm is a considerably improved version of the MCR algorithm, which is a very efficient branch-and-bound algorithm. The improvement is achieved by devising a sophisticated procedure for approximate coloring as well as by introducing a novel strategy for ordering vertices in the branch-and bound procedure. It is experimentally demonstrated that the new algorithm is remarkably faster than MCR and other existing algorithms for most benchmark instances.
- 一般社団法人情報処理学会の論文
- 2007-06-25
著者
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TOMITA Etsuji
Department of Information and Communication Engineering, and The Advanced Algorithms Research Labora
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Tomita Etsuji
Department Of Information And Communication Engineering The University Of Electro-communications
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Tomita Etsuji
Department Of Information And Communication Engineering And The Advanced Algorithms Research Laborat
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Sutani Yoichi
Department of Information and Communication Engineering The University of Electro-Communications
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Higashi Takanori
Department of Information and Communication Engineering The University of Electro-Communications
関連論文
- The maximum clique problem and its applications (数理モデル化と問題解決 バイオ情報学)
- A more efficient algorithm for finding a maximum clique with an improved approximate coloring (数理モデル化と問題解決)
- The Maximum Clique Problem and Its Applications
- NetMCQ : A Distributed Exact Maximum Clique Solver
- NetMCQ: a distributed exact maximum clique solver (数理モデル化と問題解決 バイオ情報学)