An Improved Entropy-based Ant Colony Optimization Algorithm

摘要：

In this paper we introduce entropy of information into ant colony algorithm. Through computing the value of entropy of information quantifying the distribution of ant choice path, we dynamicly adjust the path choice strategy and solve the problem of stagnation or early maturity from strategy choice in traditonal ant colony optimized algorithm.

关键词： ant colony algorithm entropy of information stagnation early maturity convergence

作者: Shaosheng Guo Youxin Meng

作者单位: College of Information Sci.& Tech., Qingdao University of Science and Technology, Qingdao, China, 266061

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 48-50

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）