蚁群算法，从自然界中蚁群的的觅食行为中受启发， 于1991年，由意大利学者M.Dorigo在其博士论文中提出，并成功的解决了旅行商(TSP)问题 -Ant Colony Algorithm

采用蚁群算法能够解决31个城市的旅行商问题，相对于遗传算法，模拟退火算法和其他的算法，蚁群算法有其自身的优势-Ant colony algorithm to solve the traveling salesman problem 31 cities, with respect to genetic algorithms, simulated annealing algorithm and other algorithms, ant colony algorithm has its own ad

基于蚁群算法写的关于旅行商问题的代码，功能可以解决基本的问题，希望能帮助大家！下载吧-Ant colony algorithm based on code written by the traveling salesman problem, the function can solve the basic problem, hoping to help you! Download it

蚁群优化是一种元启发式的随机搜索技术,是目前解决组合优化问题最有效的工具之一.将信 息素更新和随机搜索机制的改进相结合,提出一种快速求解旅行商问题的蚁群算法-Ant colony optimization is a kind of meta heuristic random search technique, is one of the most effective tool to solve combinatorial optimization problem. The letter