关键词: 蚁群系统, 免疫算法, 遗传算法, 疫苗接种, 旅行商问题

Abstract: A new hybrid algorithm combined with ant colony system，immune algorithm and genetic algorithm is presented.To introduce the immune algorithm and genetic algorithm into the process of ant colony iterations and to take the advantages of the local optimization of immune algorithm and the global search of genetic algorithm can speed up the convergence of the ant colony system.This hybrid algorithm can effectively overcome the shortcomings of ant colony system which easily “trap into” local optimal solution or degradation by way of selecting，intersecting and mutating of genetic algorithm along with the self-adaptation immune vaccination of immune algorithm.The simulation test for solving travelling salesman problem has shown that this new hybrid algorithm is very excellent in convergence and optimal solution for global search.

Key words: ant colony system, immune algorithm, Genetic Algorithm, immune vaccination, Traveling Salesman Problem