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Volumn 10, Issue 4, 2010, Pages 1257-1273

A systematic comparison of metamodeling techniques for simulation optimization in Decision Support Systems

Author keywords

Artificial intelligence; Decision making process; Decision support system; Simulation metamodel; Simulation optimization

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPLEX NETWORKS; DECISION MAKING; DEEP NEURAL NETWORKS; EFFICIENCY; GENETIC ALGORITHMS; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; REAL TIME SYSTEMS; REGRESSION ANALYSIS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

EID: 78049279737     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2009.11.034     Document Type: Article
Times cited : (167)

References (56)
  • 1
    • 33947502562 scopus 로고    scopus 로고
    • Model-driven decision support systems: Concepts and research directions
    • D.J. Power, R. Shardab, Model-driven decision support systems: Concepts and research directions, Decision Support Systems 43 (2007) 1044-1061.
    • (2007) Decision Support Systems , vol.43 , pp. 1044-1061
    • Power, D.J.1    Shardab, R.2
  • 5
    • 0141686629 scopus 로고    scopus 로고
    • Simulation-based optimization usingcomputational intelligence
    • H. Nakayama, M. Arakawa, R. Sasaki, Simulation-based optimization usingcomputational intelligence, Optimization and Engineering 3 (2) (2002) 201-214.
    • (2002) Optimization and Engineering , vol.3 , Issue.2 , pp. 201-214
    • Nakayama, H.1    Arakawa, M.2    Sasaki, R.3
  • 6
    • 18244392672 scopus 로고    scopus 로고
    • Simulation-based optimization with surrogate models-application to supply chain management
    • X.T. Wan, J.F. Pekny, G.V. Reklaitis, Simulation-based optimization with surrogate models-application to supply chain management, Computers and Chemical Engineering 29 (2005) 1317-1328.
    • (2005) Computers and Chemical Engineering , vol.29 , pp. 1317-1328
    • Wan, X.T.1    Pekny, J.F.2    Reklaitis, G.V.3
  • 7
    • 34248346299 scopus 로고    scopus 로고
    • Review of metamodeling techniques in support of engineering design optimization, Transactions of the ASME
    • G.G. Wang, S. Shan, Review of metamodeling techniques in support of engineering design optimization, Transactions of the ASME, Journal of Mechanical Design 129 (4) (2007) 370-380.
    • (2007) Journal of Mechanical Design , vol.129 , Issue.4 , pp. 370-380
    • Wang, G.G.1    Shan, S.2
  • 9
    • 0035727744 scopus 로고    scopus 로고
    • Comparative studies of metamodeling techniques under multiple modelling criteria
    • R. Jin, W. Chen, T.W. Simpson, Comparative studies of metamodeling techniques under multiple modelling criteria, Structural and Multidisciplinary Optimization 23 (1) (2001) 1-13.
    • (2001) Structural and Multidisciplinary Optimization , vol.23 , Issue.1 , pp. 1-13
    • Jin, R.1    Chen, W.2    Simpson, T.W.3
  • 10
    • 23144459061 scopus 로고    scopus 로고
    • A comparative study of metamodeling methods for multiobjective crashworthiness optimization
    • H. Fanga, M. Rais-Rohanib, Z. Liuc, M.F. Horstemeyera, A comparative study of metamodeling methods for multiobjective crashworthiness optimization, Computers and Structures 83 (25-26) (2005) 2121-2136.
    • (2005) Computers and Structures , vol.83 , Issue.25-26 , pp. 2121-2136
    • Fanga, H.1    Rais-Rohanib, M.2    Liuc, Z.3    Horstemeyera, M.F.4
  • 11
    • 0002432565 scopus 로고
    • Multivariate adaptive regression splines
    • J.H. Friedman, Multivariate adaptive regression splines, Annals Statistics 19 (1991) 1-141.
    • (1991) Annals Statistics , vol.19 , pp. 1-141
    • Friedman, J.H.1
  • 13
    • 3242803554 scopus 로고    scopus 로고
    • Application-driven sequential designs for simulation experiments: Kriging metamodeling
    • J.P.C. Kleijnen, W.C.M. van Beers, Application-driven sequential designs for simulation experiments: Kriging metamodeling, Journal of the Operational Research Society 55 (8) (2004) 876-883.
    • (2004) Journal of the Operational Research Society , vol.55 , Issue.8 , pp. 876-883
    • Kleijnen, J.P.C.1    Van Beers, W.C.M.2
  • 14
    • 13444266107 scopus 로고    scopus 로고
    • Robustness of Kriging when interpolating in random simulation with heterogeneous variances: Some experiments
    • J.P.C. Kleijnen, W.C.M. van Beers, Robustness of Kriging when interpolating in random simulation with heterogeneous variances: Some experiments, European Journal of Operational Research 165 (3) (2005) 826-834.
    • (2005) European Journal of Operational Research , vol.165 , Issue.3 , pp. 826-834
    • Kleijnen, J.P.C.1    Van Beers, W.C.M.2
  • 16
    • 0346972435 scopus 로고    scopus 로고
    • Stochastic simulations of Web search engines: RBF versus second-order regression models
    • G. Meghabghab, A. Kandel, Stochastic simulations of Web search engines: RBF versus second-order regression models, Information Sciences 159 (1-2) (2004) 1-28.
    • (2004) Information Sciences , vol.159 , Issue.1-2 , pp. 1-28
    • Meghabghab, G.1    Kandel, A.2
  • 17
    • 0042430207 scopus 로고    scopus 로고
    • Artificial neural networks for job shop simulation
    • D.J. Fonseca, D. Navaresse, Artificial neural networks for job shop simulation, Advanced Engineering Informatics 16 (4) (2002) 241-246.
    • (2002) Advanced Engineering Informatics , vol.16 , Issue.4 , pp. 241-246
    • Fonseca, D.J.1    Navaresse, D.2
  • 19
    • 25144486629 scopus 로고    scopus 로고
    • Analysis of support vector regression for approximation of complex engineering analyses
    • S.M. Clarke, J.H. Griebsch, T.W. Simpson, Analysis of support vector regression for approximation of complex engineering analyses, Journal of Mechanical Design 127 (6) (2005) 1077-1087.
    • (2005) Journal of Mechanical Design , vol.127 , Issue.6 , pp. 1077-1087
    • Clarke, S.M.1    Griebsch, J.H.2    Simpson, T.W.3
  • 20
  • 26
    • 0033351020 scopus 로고    scopus 로고
    • The development of a methodology for the use of neural networks and simulation modeling in system design
    • M. Nasereddin, M. Mansooreh, The development of a methodology for the use of neural networks and simulation modeling in system design, in: Proceedings of the 31st Conference on Winter Simulation, vol. 1, 1999, pp. 537-542.
    • (1999) Proceedings of the 31st Conference on Winter Simulation , vol.1 , pp. 537-542
    • Nasereddin, M.1    Mansooreh, M.2
  • 29
    • 0001018295 scopus 로고
    • Multiquadratic equations of topography and other irregular surfaces
    • R.L. Hardy, Multiquadratic equations of topography and other irregular surfaces, Journal of Geophysics Research 76 (1971) 1905-1915.
    • (1971) Journal of Geophysics Research , vol.76 , pp. 1905-1915
    • Hardy, R.L.1
  • 30
    • 0035401012 scopus 로고    scopus 로고
    • Iterative radial basis functions neural networks as metamodels of stochastic simulations of the quality of search engines in the World Wide Web
    • G. Meghabghab, Iterative radial basis functions neural networks as metamodels of stochastic simulations of the quality of search engines in the World Wide Web, Information Processing & Management 37 (4) (2001) 571-591.
    • (2001) Information Processing & Management , vol.37 , Issue.4 , pp. 571-591
    • Meghabghab, G.1
  • 36
    • 77649292637 scopus 로고    scopus 로고
    • Automated response surface methodology for simulation optimization models with unknown variance
    • R. Nicolai, R. Dekker, Automated response surface methodology for simulation optimization models with unknown variance, Quality Technology & Quantitative Management 6 (3) (2009) 1-28.
    • (2009) Quality Technology & Quantitative Management , vol.6 , Issue.3 , pp. 1-28
    • Nicolai, R.1    Dekker, R.2
  • 37
    • 1942437471 scopus 로고    scopus 로고
    • A sequential-design metamodeling strategy for simulation optimization
    • A.C. Keys, L.P. Rees, A sequential-design metamodeling strategy for simulation optimization, Computers and Operations Research 31 (11) (2004) 1911-1932.
    • (2004) Computers and Operations Research , vol.31 , Issue.11 , pp. 1911-1932
    • Keys, A.C.1    Rees, L.P.2
  • 38
    • 0032592167 scopus 로고    scopus 로고
    • Computing confidence intervals for stochastic simulation using neural network metamodels
    • R.A. Kilmer, A.E. Smithb, L.J. Shuman, Computing confidence intervals for stochastic simulation using neural network metamodels, Computers and Industrial Engineering 36 (1999) 391-407.
    • (1999) Computers and Industrial Engineering , vol.36 , pp. 391-407
    • Kilmer, R.A.1    Smithb, A.E.2    Shuman, L.J.3
  • 41
    • 0018468345 scopus 로고
    • A comparison of three methods for selecting values of input variables in the analysis of output from a computer code
    • M.D. McKay, R.J. Beckman, W.J. Conover, A comparison of three methods for selecting values of input variables in the analysis of output from a computer code, Technometrics 21 (1979) 239-245.
    • (1979) Technometrics , vol.21 , pp. 239-245
    • McKay, M.D.1    Beckman, R.J.2    Conover, W.J.3
  • 42
    • 0000561424 scopus 로고    scopus 로고
    • Efficient global optimization of expensive black-box functions
    • D. Jones, M. Schonlau, W. Welch, Efficient global optimization of expensive black-box functions, Journal of Global Optimization 13 (1998) 455-492.
    • (1998) Journal of Global Optimization , vol.13 , pp. 455-492
    • Jones, D.1    Schonlau, M.2    Welch, W.3
  • 43
    • 0033454151 scopus 로고    scopus 로고
    • A comparison of factorial and random experimental design methods for the development of regression and neural network simulation metamodels
    • R.D. Hurrion, S. Birgil, A comparison of factorial and random experimental design methods for the development of regression and neural network simulation metamodels, Journal of the Operational Research Society 50 (1999) 1018-1033.
    • (1999) Journal of the Operational Research Society , vol.50 , pp. 1018-1033
    • Hurrion, R.D.1    Birgil, S.2
  • 45
    • 0000510934 scopus 로고
    • Genetic algorithms, noise, and the sizing of populations
    • D.E. Goldberg, K. Deb, J.H. Clark, Genetic algorithms, noise, and the sizing of populations, Complex Systems (1992) 333-362.
    • (1992) Complex Systems , pp. 333-362
    • Goldberg, D.E.1    Deb, K.2    Clark, J.H.3
  • 47
    • 58749087373 scopus 로고    scopus 로고
    • A study of project selection and feature weighting for analogy based software cost estimation
    • Y.F. Li, M. Xie, T.N. Goh, A study of project selection and feature weighting for analogy based software cost estimation, Journal of Systems and Software 82 (2) (2009) 241-252.
    • (2009) Journal of Systems and Software , vol.82 , Issue.2 , pp. 241-252
    • Li, Y.F.1    Xie, M.2    Goh, T.N.3
  • 48
    • 0028203106 scopus 로고
    • Convergence analysis of canonical genetic algorithms
    • G. Rudolph, Convergence analysis of canonical genetic algorithms, IEEE Transactions on Neural Networks 5 (1) (1994) 96-101.
    • (1994) IEEE Transactions on Neural Networks , vol.5 , Issue.1 , pp. 96-101
    • Rudolph, G.1
  • 49
    • 33744950644 scopus 로고    scopus 로고
    • Hybrid genetic algorithms and case-based reasoning systems for customer classification
    • H. Ahn, K. Kim, I. Han, Hybrid genetic algorithms and case-based reasoning systems for customer classification, Expert Systems 23 (3) (2006) 127-144.
    • (2006) Expert Systems , vol.23 , Issue.3 , pp. 127-144
    • Ahn, H.1    Kim, K.2    Han, I.3
  • 51
    • 56549085451 scopus 로고    scopus 로고
    • Evolutionary tuning of SVM parameter values in multiclass problems
    • A.C. Lorena, A. de Carvalho, Evolutionary tuning of SVM parameter values in multiclass problems, Neurocomputing 71 (16-18) (2008) 3326-3334.
    • (2008) Neurocomputing , vol.71 , Issue.16-18 , pp. 3326-3334
    • Lorena, A.C.1    De Carvalho, A.2
  • 52
    • 27744569713 scopus 로고    scopus 로고
    • Bayesian approach to feature selection and parameter tuning for support vector machine classifiers
    • C. Gold, A. Holub, P. Sollich, Bayesian approach to feature selection and parameter tuning for support vector machine classifiers, Neural Networks 18 (5-6) (2005) 693-701.
    • (2005) Neural Networks , vol.18 , Issue.5-6 , pp. 693-701
    • Gold, C.1    Holub, A.2    Sollich, P.3
  • 55
    • 4944230965 scopus 로고    scopus 로고
    • A comparison of experimental designs in the development of a neural network simulation metamodel
    • F.M. Alam, K.R. McNaught, T.J. Ringrose, A comparison of experimental designs in the development of a neural network simulation metamodel, Simulation Modelling Practice and Theory 12 (7-8) (2004) 559-578.
    • (2004) Simulation Modelling Practice and Theory , vol.12 , Issue.7-8 , pp. 559-578
    • Alam, F.M.1    McNaught, K.R.2    Ringrose, T.J.3
  • 56
    • 0032098361 scopus 로고    scopus 로고
    • The connection between regularization operators and Support Vector kernels
    • A.J. Smola, B. Schölkopf, K.R. Muller, The connection between regularization operators and Support Vector kernels, Neural Networks 11 (4) (1998) 637-649.
    • (1998) Neural Networks , vol.11 , Issue.4 , pp. 637-649
    • Smola, A.J.1    Schölkopf, B.2    Muller, K.R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.