Graph coloring by multiagent fusion search

被引：0
作者：
Xiao-Feng Xie
Jiming Liu
机构：
[1] Hong Kong Baptist University,Department of Computer Science
来源：
Journal of Combinatorial Optimization | 2009年 / 18卷
关键词：
Graph coloring; Global optimization; Multiagent system;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A multiagent fusion search is presented for the graph coloring problem. In this method, each of agents performs the fusion search, involving a local search working in a primary exploitation role and a recombination search in a navigation role, with extremely limited memory and interacts with others through a decentralized protocol, thus agents are able to explore in parallel as well as to achieve a collective performance. As the knowledge components implemented with available structural information and in formalized forms, the Quasi-Tabu local search and grouping-based recombination rules are especially useful in addressing neutrality and ruggedness of the problem landscape. The new method has been tested on some hard benchmark graphs, and has been shown competitive in comparison with several existing algorithms. In addition, the method provides new lower bound solutions when applied to two large graphs. Some search characteristics of the proposed method is also discussed.
引用
收藏
页码：99 / 123
页数：24
相关论文
共 98 条
  • [1] Anderson JR(2005)Human symbol manipulation within an integrated cognitive architecture Cogn Sci 29 313-341
  • [2] Barbosa VC(2004)Two novel evolutionary formulations of the graph coloring problem J Comb Optim 8 41-63
  • [3] Assis CAG(2004)Graph coloring for air traffic flow management Ann Oper Res 130 163-178
  • [4] do Nascimento JO(1994)A new adaptive multi-start technique for combinatorial global optimizations Oper Res Lett 16 101-113
  • [5] Barnier N(2004)Extremal optimization at the phase transition of the three-coloring problem Phys Rev E 69 066703-256
  • [6] Brisset P(1979)New methods to color the vertices of a graph Commun ACM 22 251-200
  • [7] Boese KD(2008)An ant-based algorithm for coloring graphs Discrete Appl Math 156 190-7316
  • [8] Kahng AB(2002)Invariance and universality in social agent-based simulations Proc Natl Acad Sci USA 99 7314-338
  • [9] Muddu S(2006)Increasing population diversity through cultural learning Adapt Behav 14 315-33
  • [10] Boettcher S(2007)An immune algorithm with stochastic aging and kullback entropy for the chromatic number problem J Comb Optim 14 9-91
12345678910