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改进人工蜂群算法及其在反演分析中的应用
引用本文:康飞,李俊杰,许青,张运花.改进人工蜂群算法及其在反演分析中的应用[J].水电能源科学,2009,27(1).
作者姓名:康飞  李俊杰  许青  张运花
作者单位:大连理工大学,土木水利学院,辽宁,大连,116024
摘    要:将人工蜂群算法用于混凝土坝参数反演,为提高算法的搜索效率、减少搜索过程中的停滞现象,引入了文化算法中的信仰空间和模拟退火的可控性概率突跳特性,提出一种具有知识引导功能的文化退火人工蜂群算法,采用上层知识进化空间和下层群体进化空间两个进化空间,在知识空间的引导下重新设计搜索算子并按一定的概率进行模拟退火搜索.算例分析表明,改进后算法的收敛性能优于原算法,为解决类似系统的优化和参数识别提供了一种新方法.

关 键 词:混凝土重力坝  参数反演  人工蜂群算法  文化算法  模拟退火

Improved Artificial Bee Colony Algorithm and Its Applicatiln in Back Analysis
KANG Fei LI Junjie XU Qing ZHANG Yunhua.Improved Artificial Bee Colony Algorithm and Its Applicatiln in Back Analysis[J].International Journal Hydroelectric Energy,2009,27(1).
Authors:KANG Fei LI Junjie XU Qing ZHANG Yunhua
Affiliation:School of Civil and Hydraulic Engineering;Dalian Universty of Technology;Dalian 116024;China
Abstract:A novel swarm intelligence optimization algorithm called artificial bee colony algorithm(ABCA) which has the properties of high efficiency and ease to actualize,is introduced.ABCA is applied to parameter inversion in geotechnical engineering in this paper.For the purpose of improving the search efficiency and reducing stagnation,a belief space in the cultural algorithm and simulated annealing operators are introduced into ABCA.A cultural annealing artificial bee colony algorithm(CAABCA) with knowledge induc...
Keywords:concrete gravity dam  inverse analysis  artificial bee colony algorithms  cultural algorithms  simulated annealing  
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