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蚁群算法及其应用研究进展
引用本文:倪庆剑,Xing Hancheng,张志政,Wang Zhenzhen.蚁群算法及其应用研究进展[J].计算机应用与软件,2008,25(8).
作者姓名:倪庆剑  Xing Hancheng  张志政  Wang Zhenzhen
作者单位:东南大学计算机科学与工程学院,江苏,南京,210096
摘    要:蚁群算法作为一种仿生进化算法,是受到真实蚁群觅食机制的启发而提出的.首先介绍了蚁群算法的基本原理和工作机制,然后分别就蚁群算法的理论和应用的研究现状进行了综述,主要包括蚁群算法的参数设置,蚁群算法的改进,蚁群算法的收敛性以及蚁群算法在组合优化问题和连续优化问题中的应用,并进一步给出了它们的研究重点和发展方向,最后是关于蚁群算法的研究展望和面临的挑战,提出了蚁群算法研究中值得探讨的一些课题.

关 键 词:群智能方法  蚁群算法  优化问题

ANT COLONY ALGORITHM AND ITS APPLICATIONS:REVIEW AND PROGRESS
Ni Qingjian,Xing Hancheng,Zhang Zhizheng,Wang Zhenzhen.ANT COLONY ALGORITHM AND ITS APPLICATIONS:REVIEW AND PROGRESS[J].Computer Applications and Software,2008,25(8).
Authors:Ni Qingjian  Xing Hancheng  Zhang Zhizheng  Wang Zhenzhen
Affiliation:Ni Qingjian Xing Hancheng Zhang Zhizheng Wang Zhenzhen(School of Computer Science , Engineering,Southeast University,Nanjing 210096,Jiangsu,China )
Abstract:The ant colony algorithm is a metaheuristic algorithm for optimization problems, which is inspired by foraging mechanisms of real ant colonies. The basic principle and working mechanism of ant colony algorithm are firstly introduced, and current researches in theories and applications of ant colony algorithm are also overviewed respectively, which are related to the configuration of parameters, improvements, convergence analysis and applications in dynamic combinatorial optimization problems and continuous ...
Keywords:Swarm intelligence Ant colony algorithm Optimization problem  
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