Abstract: To balance the exploration and using and improve the efficiency of algorithm, referred to the policies of particle swarm algorithm, this paper proposes a new opitimization algorithm for immune network, it exploites the excellent antibody in group and useful info from parent antibody’s mutation to guide the orientation of mutation according situation. Some typical test functions are applied to the new algorithm, the experiment results show that the algorithm has better global and local searching ability, higher speed for searching optimum solution, better ability of seaching muti-solutions.

Key words: particle swarm algorithm, immune network, optimization