针对蚁群算法在寻优过程中容易出现停滞现象,同意在该算法中引入免疫机制,将待求解问题看成抗原,而问题的解看成抗体,通过基于浓度的选择机制和多样性保持策略来提高蚁群算法的全局搜索能力和避免停滞现象.对TSP问题的仿真实验结果表明,该算法极大地提高了搜索能力和避免了停滞现象. Ant colony algorithm is prone to stagnation in the process of optimization. It is agreed that the immune mechanism is introduced into the algorithm, the problem to be solved is regarded as antigen, and the solution of the problem is regarded as the antibody. Through the concentration-based selection mechanism and diversity preservation strategy To improve the global search ability of ant colony algorithm and avoid the stagnation phenomenon.The simulation results of TSP show that this algorithm greatly improves the search ability and avoids the stagnation phenomenon.