Research on TSP based on ant colony algorithm

This paper solves the TSP (Travel Salesman Problem) problem using the improved ant colony algorithm, and discusses the influence of several key parameters of ant colony algorithm on the performance of the algorithm. Meanwhile computer simulation is carried out on a large number of data using MATLAB, and the regulation of setting parameters is found by experiments on lots of data. The experiments show that ant colony algorithm has the theory and practice guiding significance on solving practical problems.