标题:A new immune genetic algorithm
作者:Lu, Yan ;Dai, Ran ;Wu, Xiangting ;Xia, Guanglei
通讯作者:Lu, Y
作者机构:[Lu, Yan ;Dai, Ran ;Wu, Xiangting ;Xia, Guanglei ] College of Information Science and Engineering, Shandong University of Science and Technology, Qing 更多
会议名称:2nd International Conference on Computer and Automation Engineering, ICCAE 2010
会议日期:February 26, 2010 - February 28, 2010
来源:2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010
出版年:2010
卷:1
页码:714-718
DOI:10.1109/ICCAE.2010.5451276
摘要:The application of genetic algorithm is widely, but it is easy to premature convergence and is inadequate about the local searching optimization ability. In this paper, a new immune genetic algorithm (IGA) is proposed. Experiments are done to compare the proposed algorithm with the standard GA, and the results indicate that the proposed IGA's optimization results and converging speed are superior and the proposed IGA overcomes the premature convergence and solves the problem of falling into local optimum solution easily. This paper also combines TSP's encoding characteristics to propose a new crossover operator (DEGX). Experiments shows the DEGX can enhance the local search ability greatly. ©2010 IEEE.
收录类别:EI
资源类型:会议论文
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