Multiple heterogeneous ant colonies algorithm based on information entropy

doi:10.3778/j.issn.1002-8331.2008.36.004

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (36): 16-19.DOI: 10.3778/j.issn.1002-8331.2008.36.004

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Multiple heterogeneous ant colonies algorithm based on information entropy

DENG Ke¹,LIN Jie¹,ZHANG Peng^1,2

1.Department of Economics & Management，Tongji University，Shanghai 200092，China
2.Department of Information Engineering，Xi’an University，Xi’an 710048，China

Received:2008-07-31 Revised:2008-10-13 Online:2008-12-21 Published:2008-12-21
Contact: DENG Ke

基于信息熵的异类多种群蚁群算法

邓可¹,林杰¹,张鹏^1,2

1.同济大学经济与管理学院，上海 200092
2.西安理工大学信息系，西安 710048

通讯作者: 邓可

Abstract

Abstract: This paper presents an Information Entropy Based Multiple Heterogeneous Ant Colonies Algorithm（IEBMHACA）.This algorithm uses multiple heterogeneous ant colonies in simultaneous optimization calculation.For each ant colony，evolution degree is expressed by information entropy，so the ants can adaptively choose strategies to exchange information between colonies to achieve dynamic equilibrium between solution diversity and convergence speed.Those strategies include selecting information exchanging object，regulating exchanging cycle and updating pheromone.Experimental results on traveling salesman problem show that this algorithm has a good global searching ability，high convergence speed and solution diversity.

Key words: information entropy, multiple heterogeneous, ant colonies algorithm, Travel Salesman Problem（TSP）

摘要： 提出了一种基于信息熵的异类多种群蚁群算法。算法使用多个异类种群的蚂蚁子群体同时进行优化计算，引入信息熵来表示蚂蚁种群的进化程度，根据蚂蚁子群体间的信息熵来决定子群体间的信息交流策略，包括选择信息交流的对象和调节信息交流的周期以及信息更新策略，以取得各蚂蚁子群体中解的多样性和收敛性之间的动态平衡。基于旅行商问题的实验证明，该算法具有很好的全局搜索能力、收敛速度以及解的多样性。

关键词: 信息熵, 异类多种群, 蚁群算法, 旅行商问题

DENG Ke¹,LIN Jie¹,ZHANG Peng^1,2. Multiple heterogeneous ant colonies algorithm based on information entropy[J]. Computer Engineering and Applications, 2008, 44(36): 16-19.

邓可¹,林杰¹,张鹏^1,2. 基于信息熵的异类多种群蚁群算法[J]. 计算机工程与应用, 2008, 44(36): 16-19.

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Multiple heterogeneous ant colonies algorithm based on information entropy

基于信息熵的异类多种群蚁群算法

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