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量子进化算法和免疫算法的比较研究
引用本文:倪红梅,;王维刚. 量子进化算法和免疫算法的比较研究[J]. 齐齐哈尔轻工业学院学报, 2009, 0(4): 46-50
作者姓名:倪红梅,  王维刚
作者单位:[1]大庆石油学院计算机与信息技术学院,黑龙江大庆163318; [2]大庆石油学院机械科学与工程学院,黑龙江大庆163318
摘    要:量子进化算法和免疫算法都是解决优化问题的强有力算法。在分析了量子进化算法搜索的特点和免疫算法的机理基础上,对它们进行比较,阐明了二者的不同特点,并通过仿真实例总结出它们在求解多峰值函数优化问题上各自的优缺点。

关 键 词:量子进化算法  免疫算法  量子旋转门  多峰值函数

Comparative study of quantum evolutionary algorithm and immune algorithm
Affiliation:NI Hong-mei, WANG Wei-gang ( 1. College of Computer and Information Technology, Daqing Petroleum Institute, Heihmgjiang Daqing 163318, China; 2. College of Mechanical Science and Engineering, Daqing Petroleum Institute, Heilongjiang Daqing 163318, China )
Abstract:Quantum evolutionary algorithm and immune algorithm are the powerful algorithms for solving optimization problems. The different characteristics of them are illustrated by being compared on basis of analyzing the searching characteristics of quantum evolution algorithm and the mechanism of immunity algorithm. Their respective advantages and disadvantages are summarized in solving optimizing questions of multi-peak value function through simulation example.
Keywords:quantum evolutionary, algorithm  immune algorithm  quantum revolving door  muhi-peak value function
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