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典型的人工免疫算法性能比较与分析
引用本文:高家全,何桂霞,王雨顺. 典型的人工免疫算法性能比较与分析[J]. 计算机工程与应用, 2009, 45(10): 208-210. DOI: 10.3778/j.issn.1002-8331.2009.10.063
作者姓名:高家全  何桂霞  王雨顺
作者单位:浙江工业大学,之江学院,杭州,310024;南京师范大学,数学与计算机科学学院,南京,210097
基金项目:国家重点基础研究发展规划(973计划) 
摘    要:基于免疫机理的算法为工程应用带来了什么、有何差异。基于这个背景,选择B-cell 算法、克隆选择算法和Opt-aiNET算法这三个免疫算法为代表,针对三类经典工程优化问题,以解质量和评价数作为评价标准,详尽地比较了它们,并给出了它们之间差异原因的分析和评价。

关 键 词:免疫理论  克隆选择算法  B-cell算法  Opt-aiNET算法
收稿时间:2008-02-25
修稿时间:2008-5-16 

Comparison and analysis with classic artificial immune algorithms on performance
GAO Jia-quan,HE Gui-xia,WANG Yu-shun. Comparison and analysis with classic artificial immune algorithms on performance[J]. Computer Engineering and Applications, 2009, 45(10): 208-210. DOI: 10.3778/j.issn.1002-8331.2009.10.063
Authors:GAO Jia-quan  HE Gui-xia  WANG Yu-shun
Affiliation:1.Zhijiang College,Zhejiang University of Technology,Hangzhou 310024,China 2.School of Mathematics and Computer Science,Nanjing Normal University,Nanjing 210097,China
Abstract:What have these algorithms based on immune theory offered for engineering application? Are there differences between them? On the background of these questions,three classic immune algorithms,B-cell algorithm,clonal selection algorithm and Opt-aiNET,are taken for examples and are compared in terms of the following two criterions:the quality of optimal solution obtained and the number of evaluation to objective function with three classic engineering problems.The differences between them are given and reasons are also analyzed.
Keywords:immune theory  clonal selection algorithm  B-cell algorithm  Opt-aiNET algorithm
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