IEC算法及其在多目标优化中的应用
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参考文献

[1] TakagiH.InteractiveEvolutionary Computation:Fusion oftheCapabilitiesof ECOptimization and Human Evaluation [C].In:ProceedingsoftheIEEE InternationalConference on IntelligentEngineering System,San Diego,2001.Vol.89,No.9,pp.1275-1296.

[2] 许芳诚.智能型多准则决策支持研究:以交谈式遗传算法为基础的模型[D].桃园:国立中央大学,2000.

[3] Cheng-Fang Hsu,Jiah-Shing Chen.AStudy on MultiCriteriaDecision Making Model:InteractiveGeneticAlgorithmsApproach [C].In:IEEE SMC'99 ConferenceProceedings,1999,Vol.3,pp.634-639.

[4] OhsakiM.,TakagiH.,OhyaK.An InputMethod Using DiscreteFitnessValues forInteractiveGA[J].JournalofIntelligentand FuzzySystems,1998,6(1):pp.131-145.

[5] LeeY.J.,Cho B.S.SparseFitnessEvaluatin forReducing UserBurden in InteractiveGenetic Algorithm [C].In:Proc ofFUZZ-IEEE'99,1999,Vol.2,pp.998-1003.

[6] BilesA.J.,Anderson G.P.,LoggiW.L.NeuralNetwork FitnessFunctions foraMusicalIGA[C].In:IIA'96/SOCO'96 IntICSC Symposialon IntelligentIndustrialAutomation and SoftComputing,1996.pp.39-44.

[7] Kitamoto A.,TakagiH.Learning CriteriaforSimilarity-based ImageRetrieval Using Simulated Breeding by Pipeline-typeGeneticAlgorithms[C].In:Tech Rep IEICE,Japanese,1996.pp.17-22.

[8] Cho S.B.Applying InteractiveGeneticAlgorithm to Content-based Image Retrieval:A Preliminary Result[C].In:Workshop on InteractiveEvolutionary Computation,Fukuoka,Japan,Mar.,1998.pp.19-24.

[9] BoschettiF.,TakagiH.Visualization ofEC Landscapeto AccelerateEC Conversion and Evaluation ofItsEffect[C].In:Congresson Evolutionary Computation (CEC2001),2001.

[10] TakagiH.,KishiK.On-lineKnowledgeEmbedding foran InteractiveEC-based MontageSystem[C].In:3rd IntConfon Knowledge-based Intelligent Information Engineering Systems(KES'99),Adelaide,Australia,1999.pp.280-283.

[11] 巩敦卫,郝国生,周勇等.分层交互式进化计算及其应用[J].控制与决策,2004,19(10):1117~1120.

[12] 胡静,陈恩红,王上飞.交互式遗传算法中收敛性及用户评估质量的提高[J].中国科学技术大学学报,2002,32(2):210~216.

[13] 蒋珊珊,曹先彬,王煦法.基于IGA的用户Agent模型与设计[J].模式识别与人工智能,2004,17(2):244~249.

[14] 王上飞,王胜惠,王熙法.结合SVM的交互式遗传算法及其应用[J].数据采集与处理,2003,18(4):429~433.

[15] X.Yao.Evolving ArtificialNeuralNetworks[C].In:ProcIEEE,1999,Vol.87,pp.1423-1447.

[16] Y.Jin.Evolutionary Optimization in Uncertain Environments—ASurvey[J].IEEETransactionson EvolutionaryComputation,2005,9(3):pp.303-317.

[17] D.Büche,P.Stoll,R.Dornberger,and P.Koumoutsakos.Multi-objective Evolutionary AlgorithmfortheOptimization ofNoisy Combustion Process[J].IEEETransactionson System,Man,and Cybernetics—PartC:Applications and Reviews,2002,32.pp.460-473.

[18] V.D.Arnold.On EffectsofOutlierson Evolutionary Optimization [C].In:IntelligentData Engineering and Automated Learning,SerLNCS 2609 Berlin,Germany:Springer-Verlag,2003.pp.151-160.

[19] N.A.Aizawa,W.B.Wah.DynamicControlofGeneticAlgorithmsin aNoisy Environment[C].In:ProcconfGeneticAlgorithms,1993.pp.48-55.

[20] N.A.Aizawa,W.B.Wah.Scheduling ofGeneticAlgorithmsin aNoisy Environment[J].EvolutionaryComputation,1994,Vol.2,No.2,pp.97-122.

[21] J.Branke,C.Schmidt,H.Schmeck.EfficientFitnessEstimation in Noisy Environment[C].Geneticand EvolutionaryComputation,L.Spectoretal,EdsSan Mateo,CA:Morgan Kaufmann,2001.pp.243-250.

[22] Y.Sano,H.Kita.Optimization ofNoisy FitnessFunctionsby Meansof GeneticAlgorithmsUsing History ofSearch [C].ParallelProblem Solving fromNatureSerLNCS,M.Schoenaueretal,EdsBerlin,Germany:Springer-Verlag,2000,1917.pp.571-580.

[23] M.J.Fitzpatrick,I.J.Grefenstette.GeneticAlgorithmsin Noisy Environments [J].Mach Lear,1988(3):pp.101-120.

[24] LB.Miller,E.D.Goldberg.GeneticAlgorithms,Selection Schemes,and theVarying EffectsofNoise[J].EvolComput,1996,4(2):pp.113-131.

[25] M.L.Rattray,J.Shapiro.Noisy FitnessEvaluation in GeneticAlgorithms and theDynamicsofLearning[C].FoundationsofGeneticAlgorithms,R.K.Belew and M.D.Vose,EdsSan Mateo,CA:Morgan Kaufmann,1997.pp.117-139.

[26] S.Markon D.Arnold,T.Bäck,T.Beielstein,and H.G.Beyer.Thresholding—A Selection OperatorforNoisy ES[C].In:ProcCongrEvolComput,2001.pp.465-472.

[27] J.Branke,C.Schmidt.Selection in thePresenceofNoise[C].LectureNotes in ComputerScience,Vol.2723,ProcGeneticEvolComputConf,E Cantu-Paz,Ed,2003.pp.766-777.

[28] 陈稼兴,许芳诚.以交互式遗传算法为基础的多准则决策支持模型:旅游行程规划个案研究[J].管理学报,2001,18(4):639~665.

[29] 周勇,巩敦卫,郝国生等.交互式遗传算法基于NN的个体适应度分阶段估计[J].控制与决策,2005,20(2):234~236.

[30] 彭勇行.管理决策分析[M].北京:科学出版社,2000.

[31] 岳超源.决策理论与方法[M].北京:科学出版社,2003.

[32] HillisD.W.Co-evolving Parasites Improve Simulated Evolution as an Optimization Procedure[C].In:Langton C.G.,TaylorC.,FarmerJ.D.,etal eds.ArtificialLifeⅡ Redwood City;Addison-Wesley,1991.pp.313-324.

[33] HusbandsP.,MillF.Simulated Co-evolution astheMechanismforEmergent Planning and Scheduling[C].In:BelewR.K.BLBe,editor.Proceedingsof theFourth InternationalConferenceon GeneticAlgorithms,San Mateo:Morgan Kaufmann Publishers,1991.pp.264-270.

[34] PotterM.A.de Jong K.A.A Cooperative Coevolutionary Approach to Function Optimization [C].In:ProceedingsoftheThird Conferenceon ParallelProblem Solving from Nature,New York,1994.pp.249-257.

[35] PotterM.A.TheDesign and AnalysisofaComputationalModelofCooperative Coevolution[D].Fairfax:GeorgeMason University,1997.

[36] 韩靖,蔡庆生.AER模型中的智能涌现[J].模式识别与人工智能,2002,15(2):134~142.

[37] 钟伟才,刘静,刘芳等.组合优化多智能体进化算法[J].计算机学报,2004,27(10):1341~1353.

[38] 钟伟才,薛明志,刘静等.基于AER模型的Multi-Agent遗传算法[J].模式识别与人工智能,2003,16(4):390~396.

[39] 钟伟才,薛明志,刘静等.多智能体遗传算法用于超高维函数优化[J].自然科学进展,2003,13(10):1078~1083.

[40] 黄永青,陆青,梁昌勇等.交互式多智能体进化算法及其应用[J].系统仿真学报,2006,18(7):2030~2032,2055.

[41] 赵立江,黄永青.基于遗传算法的混合属性聚类初始点选择研究[J].广西师范大学学报,2008,26(3):194~197.

[42] A.Witkin and M.Kass.SpacetimeConstraints[C].ProceedingsofSIGGRAPH,1988.pp.159-168.