摘要
基于生物免疫系统自动优化和克隆抗体抵抗外来病毒入侵的原理,提出了一种克隆选择的人工免疫算法。通过测试函数进行仿真实验和旅行商问题寻优计算,验证了该免疫算法的有效性,实验结果表明,该算法具有良好的性能且在优化方面有较高的实用价值。
Based on the principle of biological immune system in automatically optimizing and cloning antibody to resist the foreign virus invasion,a clone selection artificial algorithm was put forward.Test functions＇ simulation and Traveling Salesman Problem（TSP） in optimization calculation were used to verify the effectiveness of the immune algorithm.Experimental results prove that this algorithm has good performance and high-level practical value in optimization.
出处
《武汉理工大学学报（信息与管理工程版）》
CAS
2012年第6期726-728,共3页
Journal of Wuhan University of Technology：Information & Management Engineering
关键词
人工免疫系统
免疫算法
克隆技术
收敛性
旅行商问题
artificial immune system
immune algorithm
clone technology
convergence
traveling salesman problem
