新型自适应免疫克隆混合算法及其应用研究

发布时间：2017-12-28 17:28

本文关键词：新型自适应免疫克隆混合算法及其应用研究　出处：《吉林大学》2007年硕士论文　论文类型：学位论文

【摘要】： 随着科学技术的发展,人类从生物体的信息系统得到了启示,发明了人工免疫系统。人工免疫系统在近几年来飞速发展,其在工程上的应用前景也逐渐被凸现出来,免疫优化算法应运而生。本文在介绍了人工免疫系统的发展史,综述了国内外免疫算法的发展现状的基础上,提出了一种新的改进算法——自适应免疫克隆混合算法。利用Visual C++实现了算法的功能,并利用Matlab对算法的运算结果进行了图像输出,并利用4个典型的多峰值函数检验了算法的性能,并与基于信息熵的免疫算法和自适应免疫算法进行了横向比较,证明了算法的优势。本文将算法应用到两个新的领域:(1)利用算法建立新型光纤微弯传感器的特性方程;(2)利用算法优化热场流分离系统。通过在这两方面的应用,说明算法有很强的实际应用价值。
[Abstract]:With the development of science and technology, human beings have learned from the information system of the organism and invented the artificial immune system. The artificial immune system has developed rapidly in recent years, and its application in engineering has been gradually emerged. Immune optimization algorithms have come into being. This paper introduces the history of artificial immune system, and summarizes the development of immune algorithm at home and abroad. Based on it, a new improved algorithm -- adaptive immune clonal hybrid algorithm is proposed. The arithmetic function using Visual C++, and the results of the arithmetic of image output by Matlab, and the use of 4 typical multi peak function algorithm performance test, and compare with the immune algorithm and adaptive immune algorithm based on information entropy, prove the advantages of the algorithm. In this paper, we apply the algorithm to two new fields: (1) use the algorithm to establish the characteristic equation of the new fiber optic micro bend sensor; (2) use the algorithm to optimize the thermal field flow separation system. Through the application of these two aspects, it shows that the algorithm has a very strong practical value.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2007
【分类号】：R392;R311

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