首页 | 本学科首页   官方微博 | 高级检索  
     

混沌免疫混合算法参数自适应调整的优化设计
引用本文:罗梅,雷梁,魏聪聪. 混沌免疫混合算法参数自适应调整的优化设计[J]. 信阳师范学院学报(自然科学版), 2012, 25(3): 387-390
作者姓名:罗梅  雷梁  魏聪聪
作者单位:1. 天津职业技术师范大学信息技术工程学院,天津,300222
2. 信阳师范学院计算机与信息技术学院,河南信阳,464000
基金项目:河南省自然科学基金项目(122300410310)
摘    要:为提高免疫算法的求解性能,在免疫克隆选择算法中融入了混沌优化操作.分析了抗体群选择概率的重要性并给出其变化的计算式,采用抗体群的连续3代平均适应度变化率以自适应地调节抗体选择概率参数值.给出了混沌免疫混合算法参数自适应调整的优化设计的具体步骤,运用混沌免疫混合算法参数自适应调整的优化方法、免疫克隆选择算法以及其他文献方法对起重机结构主梁截面优化设计.结果表明:混沌免疫混合算法参数自适应调整的优化方法具有自适应能力强、计算效率高及优化设计精度高等优点.

关 键 词:混沌  免疫算法  参数自适应调整  优化方法

Optimization Design of Hybrid Chaos Immune Algorithm with Self-adaptive Parameter Adjusting
LUO Mei , LEI Liang , WEI Cong-cong. Optimization Design of Hybrid Chaos Immune Algorithm with Self-adaptive Parameter Adjusting[J]. Journal of Xinyang Teachers College(Natural Science Edition), 2012, 25(3): 387-390
Authors:LUO Mei    LEI Liang    WEI Cong-cong
Affiliation:1.School of Information Technology Engineering,Tianjin University of Technology and Education,Tianjin 300222,China; 2.School of Computer and Information Technology,Xinyang Normal University,Xinyang 464000,China)
Abstract:In order to improve the performance of immune algorithm,chaos optimization was integrated into immune clone selection algorithm.The importance of the selection probability of antibody was analyzed and its varied calculated equation was given.The changeable rate of fitness by antibodies 3 times continuous generations was adopted to regulate antibody selection probability value adaptively.The concrete steps for the optimization method of hybrid chaos immune algorithm with self-adaptive parameter adjusting was given.To compare the performance of optimization method of hybrid chaos immune algorithm with self-adaptive parameter adjusting,immune clone selection algorithm and traditional method in the literatures,three methods were used to optimize the main beam cross-section for crane structure.Comparison results indicate that the optimization method of hybrid chaos immune algorithm with self-adaptive parameter adjusting has many advantages such as better self-adaptive capacity,higher computation efficiency and design accuracy.
Keywords:chaos  immune algorithm  self-adaptive parameter adjusting  optimization design
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号