Immunity clone algorithm with particle swarm optimization
采用粒群优化的免疫克隆算法

To use the clonal selection mechanism of the immune system and combine with the evolution equation of particle swarm optimization, an advanced algorithm was introduced to optimize functions. The advantages are via immunity operation to maintain diversity of the antibodies, and the speed of convergent are improved by using evolution equation. The simulation results show that the algorithm can converge to the global optimum at quicker rate in a given range.