摘要
旅行商问题的传统求解方法是遗传算法,此算法收敛速度慢,并不能获得问题的最优解。为了求取旅行商问题的最优解,本文在阐述蚁群算法的基本原理、模型以及在旅行商问题中的实现过程的基础上,提出了一种以蚁群算法构建的基于MATLAB的求解旅行商问题的方法,并最后通过仿真实验获得了目前已知的最好解。
The traditional method for solving the traveling salesman problem is a genetic algorithm, which is slow convergence and can not obtain the optimal solution. In order to strike the optimal solution of the traveling salesman problem, this paper described the basic principles of ant colony optimization, the model as well as the basis of the process of solving the traveling salesman problem. The other, an ant colony optimization is built for solving the traveling salesman problem based on MATLAB, and finaly through the simulation to obtain the best solution which is the best one currently.
出处
《无线互联科技》
2012年第3期76-78,共3页
Wireless Internet Technology
关键词
蚁群算法
旅行商问题
MATLAB
Ant Colony Optimization
Traveling Salesman Problem
MATLAB
