提出一种基于启发式变异的蚁群算法，结合传统蚁群算法和遗传变异算法的优点，利用蚁群算法找到一条全局近优解，采用启发式变异进行路径优化，并将优化信息以信息素的方式传递给下一代，从而快速得到全局最优解-】This paper proposes an Ant Colony Algorithm based on Heuristic Mutation(ACAHM), combining with the advantage of the traditionalAnt Colony Algorithm(ACA) and the genetic mutation algorithm. ACA is used to find a globally near optimal solution, and then it is optimized bythe heuristic mutation.