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一种改进的连续域蚁群算法
引用本文:赵义武,牛庆银,王宪成,郭官周.一种改进的连续域蚁群算法[J].装甲兵工程学院学报,2010,24(6).
作者姓名:赵义武  牛庆银  王宪成  郭官周
作者单位:装甲兵工程学院基础部 装甲兵工程学院机械工程系 装甲兵工程学院控制工程系
基金项目:汽车安全与节能国家重点实验室开放基金资助项目
摘    要:简要介绍了蚁群算法,并从解决连续域问题的角度分析了段海滨等提出的基于网格划分策略的连续域蚁群算法的基本原理,针对该算法的特点和存在的缺陷,提出了改进的办法:在前期用遗传算法快速生成初始信息素,再利用蚁群算法寻求精确解。最后通过对一个二维连续域函数优化仿真实验,证明了改进后蚁群算法的有效性。仿真实验结果证明:改进后的蚁群算法无论是时间性能还是优化性能都明显优于改进前的蚁群算法,克服了蚁群算法的缺陷,大大提高了算法的速度和求解效率,达到了时间性能和优化性能的双赢。

关 键 词:蚁群算法  遗传算法  连续优化

An Improved Continuous Ant Colony Algorithm
ZHAO Yi-wu,NIU Qing-yin,WANG Xian-cheng,GUO Guan-zhou.An Improved Continuous Ant Colony Algorithm[J].Journal of Armored Force Engineering Institute,2010,24(6).
Authors:ZHAO Yi-wu  NIU Qing-yin  WANG Xian-cheng  GUO Guan-zhou
Institution:1.Department of Fundamental Courses; Academy of Armored Force Engineering; Beijing 100072; China; 2.Department of Mechanical Engineering; 3.Department of Control Engineering; China);
Abstract:The algorithm is introduced briefly.The principle of ant colony algorithm for continuous domains based on mesh strategy which is proposed by Duan H B is discussed.Its main characteristics including their advantages and disadvantages are analyzed.The method for improving the ant colony algorithm is proposed.The basic idea is that the genetic algorithm with its properties of speediness,randomicity and global convergence are adopted to give information pheromone to distribute firstly,and then the ant algorithm...
Keywords:ant colony algorithm  genetic algorithm  continuous optimization
本文献已被 CNKI 维普 万方数据 等数据库收录!
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