Immune Particle Swarm Optimization Algorithm

Clone selection and better diversity of immune learning is introduced into particle swarm optimization algorithm to construct an algorithm immune particle swarm optimization algorithm(IPSO).The modified algorithm can avoid the local optimization and has better performance for multi-peak function optimization problem.The algorithm is applied to four familiar test functions.Experimental results illustrate that the IPSO has the potential to achieve better and faster convergence.