免疫学习算法-simflow.pdfVIP

一类用于函数优化问题的基于混沌有哪些信誉好的足球投注网站的免疫算法 左兴权，范玉顺 (清华大学 自动化系，北京 100084) E-mail: zuoxq@; zuoxingquan@ 摘 要：将混沌优化算法与克隆选择算法相结合，提出了一类基于混沌有哪些信誉好的足球投注网站的免疫算法。首先利用解空间变换将优化变量表示为混 沌变量，并将混沌变量编码为抗体。然后，利用混沌变量的遍历性和随机性特点，通过在高亲和力抗体的邻域内进行混沌有哪些信誉好的足球投注网站以 实现局部寻优，通过在整个解空间内的混沌有哪些信誉好的足球投注网站来避免陷入局部最优解。数值仿真结果表明该算法具有不易陷入局部最优，解的 精度高和操作简单等优点。 关键词：免疫算法 ；克隆选择算法；混沌优化算法；优化计算 中图分类号：TP18 文献标识码：A A chaotic search based immune algorithm for function optimization problems ZUO Xing-quan ，Fan Yu-shun (Department of automation, Tsinghua University, Beijing 100084, China. Correspondent: ZUO Xing-quan, E-mail: zuoxq@ ) Abstract: A chaotic search based immune algorithm is proposed by integrating chaos optimization algorithm and clonal selection algorithm. Firstly, optimization variables are expressed by chaotic variables through solution space transformation, and the chaotic variables are coded into an antibody. Secondly, taking full advantages of the characteristics of ergodicity and randomicity of chaotic variables, the local search is performed by chaotic search in the neighborhoods of high affinity antibodies, and the chaotic search is carried out in the whole solution space to avoid sticking at local optima. The results of numerical simulation show that the algorithm has some merits, such as avoiding local optima, high precision solution and simple operations. Key words: immune algorithm; clonal selection algorithm; chaos optimization algorithm; optimization computation 免疫算法和基于多种免疫机理的免疫遗传算法。 1 引 言 混沌是一种普遍的非线性现象。自从Lorenz[8] 生物免疫系统是一个并行的分布自适应系统， 于 1963 年首次发现混沌吸引子，混沌在数学领域和