摘要
介绍了一种模拟生物免疫系统自我调节功能的免疫算法(IA)和这种算法的基本步骤.基于旅行商问题,提出了IA的抗体表示方法、初始抗体的产生方法、抗体与抗原之间以及抗体与抗体之间亲和力的计算方法,构造了几种抗体生成算子.仿真实验表明IA具有较强的全局搜索能力.
An immune algorithm (IA) simulating the biological immune systems and its basic approach are introduced. Based on traveling salesman problem (TSP), the methods of describing antibodies artificially, producing original antibodies are put forward, as well as that of computing the appetency between an antibody and an antigen or between an antibody and another, and then several operators producing new antibodies are working out. Simulating examples show that IA is an effective method for TSP.
出处
《长沙电力学院学报（自然科学版）》
2003年第2期16-20,共5页
JOurnal of Changsha University of electric Power:Natural Science
