Convergence of the comprehensive learning particle swarm optimization(CLPSO) algorithm is relatively slow at the late stage of evolution. Once all particles trapped in local optimum,the algorithm can not jump out of the local optimum. This paper proposed immune comprehensive learning particle swarm optimization( ICLPSO) algorithms. The algorithm introduced clonal selection mechanism in artificial immune system. Using of clonal copy,hypermutation and clonal selection,it increased the diversity of the populat...
| 
推荐 
点击下列相关研究机构和相关文献作者，可以直接查到这些机构和作者被《中国知识资源总库》收录的其它文献，使您全面了解该机构和该作者的研究动态和历史。
