Hybrid Behavior Ant Colony Algorithm

被引：2

作者：

Wei, Xianmin ^{[1
]}

机构：

[1] Weifang Univ, Comp & Commun Engn Sch, Weifang, Peoples R China

来源：

MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8 | 2012年 / 433-440卷

关键词：

Hybrid behavior ant colony algorithm(HBACA); Ant behavior; Solving performance;

D O I：

10.4028/www.scientific.net/AMR.433-440.4496

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In basic ant colony algorithm optimization process, for the ant colony algorithm in speeding up the convergence rate and avoiding stagnation, ant colony algorithm based on hybrid behavior is studied in this paper. By the ant behavior definition and implementation of the algorithm, the instance confirms that the ant colony algorithm based on hybrid behavior has a more stable solving performance than the basic ant colony algorithm. Basic ant colony algorithm optimization process is heavily influenced by the impact of a better early solution, these better solutions with great probability lead to local optimal solution. For ant colony algorithm in accelerating the convergence speed while avoiding stagnation, the following constructs an ant colony algorithm based on hybrid behavior.

引用

页码：4496 / 4499

页数：4

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