免疫-遗传系统的构造及在函数寻优中应用  

Construction of Immune Genetic Algorithm and Application in Functional Optimization

作　　者：武晓今[1] 韩生廉[1] 

机构地区：[1]同济大学 电子与信息工程学院,上海200092

出　　处：《辽宁工程技术大学学报（自然科学版）》2001年第5期669-672,共4页Journal of Liaoning Technical University (Natural Science)

摘　　要：免疫系统是生物界高度进化的结果。它具有学习，记忆及模式识别等功能。将免疫思想与遗传算法结合起来，用于处理连续变量的函数最优化问题和离散变量的组合最优化问题，扩大了遗传算法的应用范围。本文利用免疫思想构造了免疫遗传算法，并通过事例显示了该方法的有效性。：Immune system is the result of high evolution of biology. It has learning, recollect and pattern- recognition function. If immune system and GA can be combined together to deal with functional optimization with consecutive variable and combined optimization with discrete variable, it can enlarge the application scope of GA. This paper proposed using immune to construct IGA (Immune Genetic Algorithm) and its efficiency was showed by an example.

关 键 词：遗传算法 免疫系统 问题空间 GA空间 构造 函数寻优 生物系统 生物进化 脊椎动物 

分 类 号：Q141[生物学—生态学] Q352[生物学—普通生物学]