Immune System Multiobjective Optimization Algorithm

摘要：

Based on Artificial Immune System, a novel Immune System Multiobjective Optimization Algorithm (ISMOA) for multiobjective optimizations is proposed. ISMOA presents nondominated sorting clonal selection operation, preserving the diversity of the population and more uniformly distributing global Pareto optimal solutions. The comparisons of ISMOA with NSGAII in ZDT problems suggest that ISMOA clearly outperforms in converging towards the true front coverage and finding the spread of solutions.

关键词： Immune system Pareto-optimal fronts Multiobjective optimization problems

作者: Bin Zhang Xiaohua Zhang Licheng Jiao Pu Yang

作者单位: Institute of Intelligent Information Processing, Xidian University, P.O.Box 224, Xi’an, 710071, China

会议类型: 国际会议

会议名称: The Second International Symposium on Intelligence Computation and Applications(ISICA 2007)(第二届智能计算及其应用国际会议)

会议地点: 武汉

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）