Adaptive Danger Area Based Danger Model Immune Algorithm

摘要：

Danger Model Immune Algorithm(DMIA) is an algorithm based on the danger theory of biological immune system. In the basic algorithm, the danger area is fixed through the initial setting. It is an important parameter which will affect the capability of algorithm. In this paper, propose an adaptive danger area DMIA. The radius of danger area is decrease gradually according to the iteration steps. The simulation results indicate that the adaptive danger area DMIA is valid and has better optimization capability.

关键词： Danger Model Immune Algorithm Adaptive danger area danger signal optimization

作者: Qingyang XU Xianyao MENG Ning WANG Chuang ZHANG

作者单位: Information science and Technology College Dalian Maritime University Dalian,China Navigation College Dalian Maritime University Dalian,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 1924-1927

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）