摘要
蚁群算法是受自然界中蚁群搜索食物行为启发而提出的一种智能优化算法,通过介绍蚁群觅食过程中基于信息素的最短路径的搜索策略,给出基于MATLAB的蚁群算法在旅行商问题中的应用,针对蚁群算法存在的过早收敛问题,加入2-opt方法对问题求解进行局部优化。计算机仿真结果表明,这种混合型蚁群算法对求解旅行商问题有较好的改进效果。
Ant algorithms have been inspired by the behavior of real ant colonies, in particular, by their foraging behavlor. It was introduced the main idea of this distributed algorithm which was the indirect eommtminatinn of ants based on pheromone trails, proposed codes written in MATLAB. Computer simulation showd that apply a hybrid approach of ant algorithm with 2-opt could efficiently find better minimum beyond premature convergence for traveling salesman problem.
出处
《铁路计算机应用》
2005年第9期4-7,共4页
Railway Computer Application
关键词
旅行商问题
组合优化
蚁群算法
改进
traveling salesman problem
combinatorial optimization
ant colony algorithm
improvement
