混合蜂群算法及其在混凝土坝动力材料参数反演中的应用
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摘要
介绍了一种新颖的群集智能优化算法—人工蜂群算法(ABCA),同时为提高算法的搜索效率,引入Nelder-Mead单纯形算法,提出了一种用于材料参数反演分析的混合单纯形人工蜂群算法。将所提出的算法用于混凝土重力坝动力材料参数识别,建立了基于不完全模态测试数据动力材料参数识别的优化反演模型。算例分析表明,混合算法融合了两种算法的优点,具有收敛速度快、识别精度高等特点,是一种高效的系统优化和参数识别方法。
The hybrid simplex artificial bee colony algorithm which combines artificial bee colony algorithm with the Nelder-Mead simplex search method for improving the search efficiency in computation is proposed.The algorithm is applied to identify the material dynamic parameters of concrete dams by establishing an optimization inverse calculation model based on incomplete modal test data.Application example shows that the proposed algorithm possesses the advantages of both artificial bee colony algorithm and Nelder-Mead simplex search method,which have the features of quick convergence and high accuracy of identification.
The hybrid simplex artificial bee colony algorithm which combines artificial bee colony algorithm with the Nelder-Mead simplex search method for improving the search efficiency in computation is proposed.The algorithm is applied to identify the material dynamic parameters of concrete dams by establishing an optimization inverse calculation model based on incomplete modal test data.Application example shows that the proposed algorithm possesses the advantages of both artificial bee colony algorithm and Nelder-Mead simplex search method,which have the features of quick convergence and high accuracy of identification.
引文
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[4]刘福深,刘耀儒,杨强,等.基于改进遗传算法的拱坝位移反分析[J].岩石力学与工程学报,2005,24(23):4341-4345.
[5]苏怀智,李季,吴中如.大坝及岩基物理力学参数优化反演分析研究[J].水利学报,2007,38(增刊):129-134.
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[12]冯夏庭,周辉,李邵军,等.岩石力学与工程综合集成智能反馈分析方法及应用[J].岩石力学与工程学报,2007,26(9):1737-1744.
[13]高玮,邓颖人.一种新的岩土工程进化反分析算法[J].岩石力学与工程学报,2003,22(2):192-196.
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[17]Karaboga D,Basturk B.On the performance of artificial bee colony(ABC)algorithm[J].Applied Soft Computing,2008,8(1):687-697.
[18]William H P,Saul A T,William T V,et al.Numerical Recipes in C++[M].Cambridge:Cambridge University Press,2002.
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[20]陈宝林.最优化理论与算法[M].北京:清华大学出版社,2005.
[21]刘杰,王嫒,杨建贵.采用加速遗传算法反演裂隙岩体渗流参数[J].水利学报,2003(2):55-60.
[22]Fan S S,Liang Y,Zahara E.A genetic algorithm and a particle swarm optimizer hybridized with Nelder-Mead simplexsearch[J].Computers and Industrial Engineering,2006,50(4):401-425.
[23]Ren Z,San Y,Chen J.Hybrid simplex-improved genetic algorithm for global numerical optimization[J].Acta AutomaticaSinica,2007,33(1):91-95.
[24]Helio J C B,Carlile C L,Fernanda M P R.A GA-simplex hybrid algorithm for global minimization of molecularpotential energy functions[J].Annals of Operations Research,2005,138(1):189-202.
[2]冯新,周晶,范颖芳.基于模态观测的混凝土坝反演分析[J].水利学报,2004(2):101-105.
[3]李守巨,刘迎曦,陈昌林,等.基于混合遗传算法的混凝土大坝力学参数反演[J].大连理工大学学报,2004,44(2):195-199.
[4]刘福深,刘耀儒,杨强,等.基于改进遗传算法的拱坝位移反分析[J].岩石力学与工程学报,2005,24(23):4341-4345.
[5]苏怀智,李季,吴中如.大坝及岩基物理力学参数优化反演分析研究[J].水利学报,2007,38(增刊):129-134.
[6]周伟,徐干,常晓林,等.堆石体流变本构模型参数的智能反演[J].水利学报,2007,38(4):389-394.
[7]刘健,练继建.李家峡拱坝坝体弹性模量及基岩变形模量的反演[J].岩石力学与工程学报,2005,24(24):4466-4471.
[8]田俊明,周晶.岩土工程参数反演的一种新方法[J].岩石力学与工程学报,2005,24(9):1492-1496.
[9]宋志宇,李俊杰,汪红宇.混沌人工鱼群算法在重力坝材料参数反演中的应用[J].岩土力学,2007,28(10):2193-2202.
[10]苏克忠,郭永刚,常廷改.大坝原型动力试验[M].北京:地震出版社,2006.
[11]杜修力,曾迪.基于演化-单纯形算法和结构物理响应反演结构物理参数的方法[J].土木工程学报,2004,37(6):23-29.
[12]冯夏庭,周辉,李邵军,等.岩石力学与工程综合集成智能反馈分析方法及应用[J].岩石力学与工程学报,2007,26(9):1737-1744.
[13]高玮,邓颖人.一种新的岩土工程进化反分析算法[J].岩石力学与工程学报,2003,22(2):192-196.
[14]Bonabeau E,Dorigo M,Theraulaz G.Swarm intelligence:from natural to artificial intelligence[M].New York:OxfordUniversity Press,1999.
[15]Karaboga D.A idea based on bee swarm for numerical optimization[R].Technical report-TR06,Erciyes University,Engineering Faculty,Computer Engineering Department,2005.
[16]Karaboga D,Basturk B.A powerful and efficient algorithm for numerical function optimization:artificial bee colony(ABC)algorithm[J].Journal of Global Optimization,2007,39(3):459-471.
[17]Karaboga D,Basturk B.On the performance of artificial bee colony(ABC)algorithm[J].Applied Soft Computing,2008,8(1):687-697.
[18]William H P,Saul A T,William T V,et al.Numerical Recipes in C++[M].Cambridge:Cambridge University Press,2002.
[19]王小平,曹立明.遗传算法——理论、应用与软件实现[M].西安:西安交通大学出版社,2002.
[20]陈宝林.最优化理论与算法[M].北京:清华大学出版社,2005.
[21]刘杰,王嫒,杨建贵.采用加速遗传算法反演裂隙岩体渗流参数[J].水利学报,2003(2):55-60.
[22]Fan S S,Liang Y,Zahara E.A genetic algorithm and a particle swarm optimizer hybridized with Nelder-Mead simplexsearch[J].Computers and Industrial Engineering,2006,50(4):401-425.
[23]Ren Z,San Y,Chen J.Hybrid simplex-improved genetic algorithm for global numerical optimization[J].Acta AutomaticaSinica,2007,33(1):91-95.
[24]Helio J C B,Carlile C L,Fernanda M P R.A GA-simplex hybrid algorithm for global minimization of molecularpotential energy functions[J].Annals of Operations Research,2005,138(1):189-202.
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