An improved ant colony optimisation heuristic for graph colouring

被引:41
作者
Dowsland, Kathryn A. [2 ,3 ]
Thompson, Jonathan M. [1 ]
机构
[1] Cardiff Univ, Sch Math, Cardiff CF24 4AG, Wales
[2] Univ Nottingham, Nottingham NG7 2RD, England
[3] Gower Optimal Algorithms Ltd, Nottingham, England
关键词
meta-heuristic; graph colouring; ant colony optimisation;
D O I
10.1016/j.dam.2007.03.025
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The focus of this paper is an ant colony optimisation heuristic for the graph colouring problem. We start by showing how a series of improvements enhance the performance of an existing ant colony approach to the problem and then go on to demonstrate that a further strengthening of the construction phase, combined with a tabu search improvement phase, raise the performance to the point where it is able to compete with some of the best-known approaches on a series of benchmark problems. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:313 / 324
页数:12
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