引文
[1]张炳华,侯昶.土建结构优化设计[M].上海:同济大学出版社,1998.
[2]孙焕纯,柴山,王跃方.离散变量结构优化设计[M].大连:大连理工大学出版社,2002.
[3]董桂西,王藏柱.结构优化设计的现状及展望[J].电力情报,2000:5-7.
[4]李昊,胡云昌,曹宏铎.结构优化[J].天津城市建设学院学报,2002,8(4):269-272.
[5]汪树玉,刘国华,包志仁.结构优化设计的现状与进展[J].基建优化,1999,20(4):3-14.
[6]李芳,凌道盛.工程结构优化设计发展综述[J].工程设计学报,2002,9(5):229-235.
[7]汪树玉,刘国华,包志仁.结构优化设计的现状与进展(续)[J].基建优化,1999,20(5):3-7.
[8]Svanberg K.The method of moving asymptotes-a newmethod for structural optimization[J].Int.J.Num.Mech.Eng.,1987,24:359-373.
[9]Kuritz S P,Fleury C.Mixed variable structural optimizationusing convex linearization technique[J].Eng.Opt.,1989,15:27-41.
[10]周明,夏人伟.Efficient method of truss design for opti-mum geometry[J].Computer&Stuctures,1990,35(2):115-119.
[11]许素强,夏人伟.杆系结构几何优化中的广义变量近似方法[J].计算结构力学及其应用,1995,12(1):17-25.
[12]孙焕纯,王跃方,黄吉锋.离散变量桁架结构的形状优化[J].大连理工大学学报,1995,35(1):10-16.
[13]石连栓,孙焕纯.离散变量结构形状优化设计的综合算法[J].力学学报,1999,31(6):731-738.
[14]陈建军,曹一波,段宝岩.基于可靠性的桁架结构拓扑优化设计[J].力学学报,1998,30(3):277-284.
[15]Kirsh U,Topping B H V.Minimum weight design of struc-tural topologies[J].J.Struc.Eng.,1992,118(7):1770-1785.
[16]许素强,夏人伟.桁架结构拓扑优化与遗传算法[J].计算结构力学及应用,1994,11(4):436-446.
[17]Grierson D E,Pak W H.Optimal sizing,geometrical andtopological design using a genetic algorithm[J].Struc.Opt.,1993,6(3):151-159.
[18]蔡文学,程耿东.桁架结构拓扑优化设计的模拟退火算法[J].华南理工大学学报,1998,26(9):78-83.
[19]刘光惠,韦日钰.桁架拓扑和尺寸优化的协同演化算法[J].广西科学,2000,7(2):81-84.
[20]孙焕纯,柴山,王跃方.离散变量结构优化设计的发展、现状及展望[J].力学与实践,1997,19(4):7-11.
[21]段宝岩,陈建军.基于极大熵思想的杆系结构拓扑优化设计研究[J].固体力学学报,1997,18(4):329-335.
[22]柴山,石连栓,孙焕纯.包含两类变量的离散变量桁架结构拓扑优化设计[J].力学学报,1999,31(5):574-583.
[23]Zhou M.D ifficulties in Truss Topology Optimization withStress and Local Buck-ling Constraints[J].Structural Op-timization,1996,(11):134-136.
[24]Rozvany G I N.Difficulties in Truss Topology Optimizationwith Local Buck ling and System Stability Constraints[J].Structural Optimization,1996,(11):213-221.
[25]Cheng Gengdong,Jiang Zheng.Study on Topology Opti-mization with Stress Constraints[J].Engineering Optimiza-tion,1992,20(2):129-148.
[26]Guo X,Cheng G D.A N ew App roach for the Solution Sin-gular Optimum in Structural Topology Optimization[J].Acta Mechanica Sinica,1997,(13):171-178.
[27]Guo X,Koetsu Yamazak I,Cheng G D.A New App roachfor the Solution of Singular Optima in Truss Topology Opti-mization with Stress and Local Buck lingConstraints[J].Structural and Multidisciplinary Optimization,2001,22(5):364-373.
[28]谭中富,何成杰.关于拓扑优化中最优解“奇异”现象的讨论[J].哈尔滨建筑大学学报,1996,29(1):17-22.
[29]程耿东.关于桁架结构拓扑优化中的奇异最优解[J].大连理工大学学报,2000,40(4):379-383.
[30]郭旭.结构拓扑优化中奇异最优解的研究[D].大连:大连理工大学,1997.
[31]Kirsch U.On Singular Topologies in Optimum StructuralDesign[J].Structural Optimization,1990,(2):133-142.
[32]Cheng Gengdong.Some Aspects on Truss Topology Optimiza-tion[J].Structural Optimization,1995,10(3/4):173-177.
[33]Cheng G D,Guo X.E-relaxed Approach in StructuralTopology Optimization[J].Structural Optimization,1998,(13):258-266.
[34]Hassani B,Hinton E.Homogenization and Structural Topol-ogy Optimization Theory,Practice and Softwave[M].Lon-don:Springer,1999.
[35]Bendsoe M P,Sigmund O.Topology Optimization:Theory,Method,and Applications[M].New York:Springer,2003.
[36]刘书田,程耿东.复合材料应力分析得均匀化方法[J].力学学报,1997,29(2):306-313.
[37]袁振,吴长春.复合材料周期性线弹性微结构的拓扑优化设计[J].固体力学学报,2003,OI:40-45.
[38]程耿东,张东旭.受应力约束的平面弹性体的拓扑优化[J].大连理工大学学报,1995,35(1):317-322.
[39]邓扬晨,张卫红,邱克鹏.力学建模在变密度法中密度与刚度关系中的应用[J].机械科学与技术,2003,22:95-98.
[40]孟明,汤文成.卧式千斤顶墙板的拓扑优化设计[J].起重运输机械,2002,(5):10-12.
[41]王健,张鲁邹,程耿东.应力约束下车架的结构拓扑优化设计[J].汽车工程,1997,19(1):15-19.
[42]Xie Y M,Steven G P.Evolutionary structural optimization whitFEA[C].Proceeding of the 2nd Asian-Pacific Conference onComputational Mechanics.Part 1.1993.27-34.
[43]Eschenauer HA,Kobelev HA,Schumacher A.Bubble methodfor topology and shape optimization of structures[J].StructuralOptimization,1994,8:142-151.
[44]ARORA J S,HUANG M W.Methods for optimization ofnonlinear problems with discrete variables:a review[J].Structural Optimization,1994(8):69-85.
[45]钱令希,钟万勰,隋允康等.多单元、多工况、多约束的结构优化设计-DDDU程序系统[J].大连工学院学报,1980,19(4):1-17.
[46]钱令希,钟万勰.结构优化设计的一个方法[J].大连工学院学报,1979,18(1):1-21.
[47]夏人伟,刘鹏.一种有效的结构优化设计方法[J].力学学报,1987,19(3):52-63.
[48]Fleury C.Efficient approximation concepts using second or-der information[J].AIAA-88-2435,1988.
[49]Jenkins,W.M..Structural Optimization with the Genetic Algo-rithm[J].The Structural Engineer,1991,69(24):418-422.
[50]Lin,F.T.,Kao,C.Y.Hsu,C.C..Applying the Genetic Ap-proach to Simulated Annealing in Solving Some NPHard Prob-lems[J].IEEE Trans.SMC,1993,23(6):1752-1767.
[51]Holsapple,C.W.et.al..A Genetic-Based Hybid Schedulerfor Generating Static Schedules in Flexible ManufacturingContex[J].IEEE Trans.SMC,1993,23(4).
[52]陈根社,陈新海.应用遗传算法设计自动交会控制器[J].西北工业大学学报,1994,11(2):247-253.
[53]Wang,I.Y,.Pan H..The Bandwidth Allocation of ATMThrough Genetic Algorithm[J].IEEE Global Telecommu-nications Conference.V.1,1991,125-129.
[54]Glasmacher K.,Hess A.,Zimmermann G..Genetic Algo-rithm for Global Improvement of Macrocell Layouts[J].Proc.IEEE Int.Computer Design-VLSI in Computersand Processors,1991,306-313.
[55]Ball,N.R.,Sargent,P.M.,Lage D.O..Genetic AlgorithmRepresentations for Laminatic Layyups[J],Artificial Intelli-gence in Engineering,1993,8:99-108.
[56]Galante M,Gerrolaza M,Annicchiarico W.Optimization ofstructural and finite element models via genetic algorithms[J].Structural Optimization,SAMPE J,1994,30(3):127-137.
[57]Hajela P,Ypp J,Lee J.GA based simulation of immune net-works applications in structural optimization[J].Engineer-ing Optimization,1997,29:131-149.
[58]Ghasemi M R,Hinton E,Wood R D.Optimization of trusses us-ing genetic algorithms for discrete and continuous variables[J].Engineering Computations,1999,16(3):272-301.
[59]Jenkins W M.Towards structural optimization via the ge-netic algorithm[J].Computer&Structures,1991,40(5):1321-1327.
[60]Lu Jingui,Ding Yinliang,Wu Bin,Xiao Shide.An improvedstrategy for gas in structural optimization[J].Computers&Structures,1996,61(6):1185-1191.
[61]Leite J P B,Topping B H V.Improving genetic operatorsfor structural engineering optimization[J].Advances in En-gineering Software,1998,29(7-9):529-562.
[62]Yamakawa Hiroshi.Studies on multidisciplinary optimiza-tion for topology,shape of structural systems and design ofcontrol systems using genetic algorithm[M].Xi’an:XidianUniversity Press,1999,109-116.
[63]Sugimoto Masahiro,Yamakawa Hiroshi.A study on simul-taneous optimization by parallel genetic algorithms[M].Xi’an:Xidian University Press,1999,241-248.
[64]Hajela P,Lee E,Cho H.Genetic algorithms in topologic de-sign of grillage structure[J].Computer Aided Civil and In-frastructure Engineering,1998,13:13-22.
[65]Soh Chee-Kiong,Yang Jiaping.Optimal layout of bridgetrusses by genetic algorithms[J].Computer Aided Civil andInfrastructure Engineering,1998,13:247-254.
[66]Rajeev S,Krishnamoorthy C S.Genetic algorithms-basedmethodologies for design optimization of truss[J].Journal ofStructual Engineering,1997,123(3):350-358.
[67]Wu Shyue-Jiam,Chow Pei-Tse.Interaged discrete andconfiguration optimization of truss genetic algorithms[J].Computers&Structures,1995,55(4):695-702.
[68]Rodolphe G,Riche Le,Catherine Knopf-Lenoir,RaphaelT Haftka.A segregated genetic algorithm for constrainedstructural optimization.Proceedings of the 6th InternationalConference on Genetic Algorithms,1995,558-565.
[69]Byon O(Ben G),Nishi Y,Sato S.Optimization Iaminationof hybrid thick-walled cylindrical shell under externalpressure by using a genetic algorithm.J ThermoplasticComposite Materials,1998,11:417-128.
[70]Savic D A,Evans K E,Silberhorn Thorsten.A genetic algo-rithm-based system for the optimal design of lami-nate.Computer Aided Civil and Infrastucture Engineering,1999,14:187-197.
[71]Venter Gerhard,Haftka R T.A Two Spaecies Genetic Al-gorithm for Designing Composite Laminates Subjected toUniversity.AIAA-96-1535-CP,1996,1848-1857.
[72]王石刚,邹时智,钱勤等.结构优化设计中的一种有效的混合GA算法[J].华中理工大学学报,1996,24(12):32-35.
[73]Jain Sakait,Gea Hae Chang.Two-dimensional packingproblems using genetic algorithms[J].Engineering withComputers,1998,14:206-213.
[74]Gero J S,Kazakov V A.Evolving design genes in space lay-out planning problems[J].Artificial Intelligence in Enhgi-neering,1998,12:163-176.
[75]Hajela P,Lin C Y.Genetic search strategies in multicriterion op-timal design[J].Structural Optimization,1992,4:99-107.
[76]Arakawa Massao,Nakayama Hirotaka,Hagiwara Ichiro,Yamakawa Hiroshi.Multiobjective Optimization UsingAdaptive Range Genetic Algorithms with Data EnvelopmentAnalysis[J].AIAA-98-4970,1998,2074-2082.
[77]Schauann E J,Balling R J,Day K.Genetic Algorithms withMultiple Objectives[J].AIAA-98-4974,1998,2114-2123.
[78]张彤,张家余,杨旭东.改进的混合遗传算法及其在模糊系统辨识中的应用[J].黑龙江自动化技术与应用,1998,17(3):20-23.
[79]钟晓敏,方建安,邵世煌.基于遗传算法的混沌系统模糊控制[J].计算技术与自动化,1998,17(1):1-3.
[80]段晓东,朱伟勇,Kowk Leung Tsui.基于GA的计算机数学试验Mm-LH设计[J].东北大学学报(自然科学版),1999,20(1):43-45.
[81]唐立新.旅行商问题的改进遗传算法[J].东北大学学报(自然科学版),1999,20(1):40-42.
[82]李凡,陈东.遗传算法在前馈神经网络中的应用[J].华中理工大学学报,1999,27(2):81-83.
[83]樊重俊,王浣尘.遗传算法的改进与应用[J].上海交通大学学报,1998,32(12):128-131.
[84]高家全,何桂霞.并行遗传算法研究综述[J].浙江工业大学学报,2007,35(1):56-72.
[85]徐雷.一种改进的模拟退火组合优化法[J].信息与控制,1990,(3).3-9.
[86]王鑫,赵春晖,张朝柱.改进模拟退火算法在图像配准中的研究[J].应用科技,2006,33(1):10-12.
[87]Laarhoven P.,Aarts E.,Lenstra J.Jobshop scheduling by simu-lated annealing[J].Ops.Res.,1992,40(1):113-125.
[88]张火明,陆慧娟,卫伟.混合离散变量模拟退火方法及其应用[J].中国计量学院学报,2006,17(1):44-49.
[89]高化猛,李智,赵新国.自动化系统数据挖掘问题的模拟退火解法[J].系统仿真学报,2007,19(1):230-232.
[90]程鑫彬,王占山,张众.基于模拟退火算法的宽角度X射线超反射镜设计研究[J].光学学报,2006,26(5):787-791.
[91]邹永定.混沌退火算法及其在地震反演中的应用[D].成都:西南石油学院,2002.
[92]刘鹏程,纪晨.改进的模拟退火-单纯形综合反演方法[J].地球物理学报,1995,38(2):199-205.
[93]阎平凡,张长水.人工神经网络与模拟退火进化计算[M].北京:清华大学出版社,2000.
[94]郭鹏飞.离散变量结构优化的拟满应力设计方法[J].工程力学,2000,17(1):94-98.
[95]杨冬梅.基于实验设计法的桁架结构几何优化[J].力学与实践,1999,21(6):37-40.
[96]陈建军,曹一波,孙怀安.多工况下具有体系可靠性约束的桁架结构拓扑优化设计[J].固体力学学报,2000,21(1):11-18.
[97]王跃方,孙焕纯,黄丽华.离散变量结构拓扑优化设计研究[J].固体力学学报,1998,19(1):59-63.
[98]Dasgupta D.Artificial Immune Systems and Their Appli-cadons[M].Berlin Heidelberg:Springer-Vedang,1999.
[99]王磊,潘进,焦李成.免疫算法[J].电子学报,2000,28(7):74-78.
[100]王磊,潘进,焦李成.免疫规划[J].计算机学报,2000,23(8):806-812.
[101]刘克胜,曹先彬,郑浩然等.基于免疫进化规划的多层前馈网络设计[J].软件学报,1999,10(11):1180-1184.
[102]周伟良,何鲲,曹先彬等.基于一种免疫遗传算法的网络设计[J].安徽大学学报(自然科学版),1999,23(1):63-66.
[103]刘克胜,曹先彬,郑浩然等.基于免疫算法的御问题求解[J].计算机工程,2000,26(1):1-2.
[104]Hofmeyr S,Forrest S.Architecture for an artificial immunesystem[J].Evolutionary Computation,1999,7(1):1289-1296.
[105]宋雪梅,李兵.蚁群算法及其应用[J].河北理工学院学报,2006,28(1):42-45.
[106]何靖华,肖人彬,师汉民.蚂蚁算法在机构同构判定中的实现[J].模式识别与人工智能,2001,14(4):406-412.
[107]CASILLAS J,etc.Learning Cooperative fuzzy rules usingant Colony optimization algorithms[R].Technical Report-00119,Spain:Department of Computer Science and Artifi-cial Intellgence,University of Granada,2000.
[108]张航,罗熊.蚁群优化算法的研究现状及研究展望[J].信息与控制,2004,33(3):318-323.
[109]Ishibuchi H,Yamamoto N,Murata T and Tanaka H.Genetic al-gorithms and neigborhood search algorithm for fuzzy flowshopscheduling problems[J].Fuzzy Sets and Systems,1994,67(1):81-100.
[110]Wang D.An inexact approach for linear programming withfuzzy objective and resource[J].Fuzzy Sets and Systems,1997,89(1):61-68.
[111]Lai Y J and Hwang C L.Fuzzy Mathematical Programming[M].Berlin:Springer-Verlag,1992.
[112]Delgado M,Verdegay J L,etal.Fuzzy Optimization:RecentAdvances[M].Berlin:Physica Verlag,1994.
[113]Fedrizzi M,Kacprzyk J and Verdegar J L.A survey of opti-mization and mathematical programming[A].In:Fedrizzi Mand Kacprzyk Jetc Edtors.Interactive Fuzzy Optimization[C].Berlin:Springer-Verlag,1991,15-28.