Multi-objective Immune Optimization in Dynamic Environments and Its Application to Signal Simulation

摘要：

A novel immune optimization technique, associated to Pareto optimality and the humoral immunity of the immune system is proposed to solve a class of multiobjective opti mization problems with the time-dependent decision space. Four immune operators, elitism evolution, rearrangement, immune regulation and memory pool, are designed to adapt to the changing environment so that the technique can achieve a reasonable tradeoff between convergence and di versity. Experimental results show that the proposed algo rithm performs well over the algorithms compared.

作者: Zhuhong Zhang Shuqu Qian

作者单位: Institute of System Science and Information Technology College of Science, Guizhou University

会议类型: 国际会议

会议名称: 2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机电自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 246-250

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）