Study on Immune Clonal Algorithm and Its Application

摘要：

The study introduces an immune clonal algorithm (ICA), which depends on Artificial Immune System principles, for traditional facility layout problems. The new algorithm through the introduction of clonal proliferation,super mutation operators and clonal selection operators, improves the global convergence speed, and can effectively avoid prematurity. Through those operators, realizs local search using clonal proliferation and clonal selection, and global search using clonal deletion, the variety ofantibody and afinity maturation was enhanced. Experimental results showed that the algorithm has a remarkable quality of the global convergence reliability and convergence velocity, thus solving effectively the CVRP problem.

关键词： artificial Immune System clonal selection theory immune clonal algorithm diversity capacitated vehicle routing problems

作者: Jia Ma Jia Ma Yunlong Zhu Yimin Shou

作者单位: Shenyang Institute of Automation Chinese Academy of Science Shenyang,China School of Economic and Management Shenyang Institute of Aeronautical Engineerin Shenyang, China Shenyang Institute of Automation Chinese Academy of Science Shenyang, China Vehicle service administration Hangzhou vehicle service administration Hangzhou,China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 411-414

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）