An ant colony algorithm for solving Max-cut problem

被引：10
|
作者：
Gao, Lin [1 ]
Zeng, Yan [2 ]
Dong, Anguo [1 ,3 ]
机构：
[1] Xidian Univ, Sch Comp Sci & Technol, Xian 710071, Peoples R China
[2] Xian Inst Post & Telecommun, Dept Comp Sci, Xian 710061, Peoples R China
[3] Changan Univ, Sch Sci, Xian 710064, Peoples R China
来源：
PROGRESS IN NATURAL SCIENCE-MATERIALS INTERNATIONAL | 2008年 / 18卷 / 09期
基金：
中国国家自然科学基金;
关键词：
Ant colony optimization; Max-cut problem; Algorithm;
D O I：
10.1016/j.pnsc.2008.04.006
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Max-cut problem is an NP-complete and classical combinatorial optimization problem that has a wide range of applications in different domains, such as bioinformatics, network optimization, statistical physics, and very large scale integration design. In this paper we investigate the capabilities of the ant colony optimization (ACO) heuristic for solving the Max-cut problem and present an AntCut algorithm. A large number of simulation experiments show that the algorithm can solve the Max-cut problem more efficiently and effectively. (C) 2008 National Natural Science Foundation of China and Chinese Academy of Sciences. Published by Elsevier Limited and Science in China Press. All rights reserved.
引用
收藏
页码：1173 / 1178
页数：6
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