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FWLS: A local search for graph coloring

  • Peking University
  • Zhejiang Normal University
  • Griffith University Queensland

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Local search (LS) is a widely used, general approach for solving hard combinatorial search problems, such as the graph coloring problem (GCP). One main advantage of this method is that effective heuristics for a problem may lead to improvements in solving other problems. Recently, it has been shown that an initial LS algorithm for the Boolean satisfiability problem (SAT) called WalkSAT is extremely effective for random SAT instances. Thus, it is interesting to apply the heuristics in WalkSAT to GCP. This paper proposes a random walk based heuristic, which is inspired by WalkSAT but differs in the tie-breaking mechanism. This new heuristic leads to a new LS algorithm for GCP namely FWLS. The experiments on the DIMACS benchmark show that FWLS finds optimal (or best known) solutions for most instances. Also, when compared to other GCP algorithms, including a greedy one, an LS one and a hybrid one, FWLS exhibits very competitive or better performance.

源语言英语
主期刊名Frontiers in Algorithmics and Algorithmic Aspects in Information and Management - Third Joint International Conference, FAW-AAIM 2013, Proceedings
84-93
页数10
DOI
出版状态已出版 - 2013
已对外发布
活动7th International Frontiers in Algorithmics Workshop and the 9th International Conference on Algorithmic Aspects in Information and Management, FAW-AAIM 2013 - Dalian, 中国
期限: 26 6月 201328 6月 2013

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
7924 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议7th International Frontiers in Algorithmics Workshop and the 9th International Conference on Algorithmic Aspects in Information and Management, FAW-AAIM 2013
国家/地区中国
Dalian
时期26/06/1328/06/13

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