摘要
本文提出了一种免疫遗传算法（ＩｍｍｕｎｅＧｅｎｅｔｉｃＡｌｇｏｒｉｔｈｍ，简称ＩＧＡ）．免疫遗传算法是根据生物的免疫原理提出的一种改进遗传算法，该算法主要体现了生物免疫机制中的抗原识别、抗原记忆和抗体的抑制、促进，并结合货郎担（ＴＳＰ）优化问题介绍了具体实现方法。
An improved Genetic Algorithm based on Immune principle is presented in this paper. Enlightened by the immune principle of creature, this algorithm simulates the immune system to solve problems. The main functions such as the memory and recognition of antigen and the adjustment of antibody are involved in this algorithm. Its application to TSP problem shows IGA performs well at the aspects of search ability and search speed.
出处
《小型微型计算机系统》
CSCD
北大核心
1999年第2期117-120,共4页
Journal of Chinese Computer Systems
基金
国家自然科学基金
