-
1
-
-
33947502562
-
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
-
2
-
-
33846693477
-
Simulation optimization decision support system for ship panel shop operations
-
A.G. Greenwood, S. Vanguri, B. Eksioglu, P. Jain, T.W. Hill, J.W. Miller, C.T. Walden, Simulation optimization decision support system for ship panel shop operations, in: Proceedings of the 2005 Winter Simulation Conference, Vol. 1, 2005, pp. 2078-2086.
-
(2005)
Proceedings of the 2005 Winter Simulation Conference
, vol.1
, pp. 2078-2086
-
-
Greenwood, A.G.1
Vanguri, S.2
Eksioglu, B.3
Jain, P.4
Hill, T.W.5
Miller, J.W.6
Walden, C.T.7
-
3
-
-
0036604498
-
Past, present, and future of decision support technology
-
J.P. Shim, M. Warkentin, J.F. Courtney, D.J. Power, R. Sharda, C. Carlsson, Past, present, and future of decision support technology, Decision Support Systems 33 (2) (2002) 111-126.
-
(2002)
Decision Support Systems
, vol.33
, Issue.2
, pp. 111-126
-
-
Shim, J.P.1
Warkentin, M.2
Courtney, J.F.3
Power, D.J.4
Sharda, R.5
Carlsson, C.6
-
5
-
-
0141686629
-
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
-
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
-
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
-
8
-
-
84983139995
-
Comparison of response surface and kriging models for multidisciplinary design optimization
-
St. Louis, MO
-
T.W. Simpson, T.M. Mauery, J.J. Korte, F. Mistree, Comparison of response surface and kriging models for multidisciplinary design optimization, in: Proc. 7th AIAA/USAF/NASA/ISSMO Symp. on Multidisciplinary Analysis & Optimization, Vol. 1, St. Louis, MO, 1998, pp. 381-391.
-
(1998)
Proc. 7th AIAA/USAF/NASA/ISSMO Symp. on Multidisciplinary Analysis & Optimization
, vol.1
, pp. 381-391
-
-
Simpson, T.W.1
Mauery, T.M.2
Korte, J.J.3
Mistree, F.4
-
9
-
-
0035727744
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
23
-
-
84972517827
-
Design and analysis of computer experiments
-
J. Sacks, W.J. Welch, T.J. Mitchell, H.P. Wynn, Design and analysis of computer experiments, Statistical Science 4 (1989) 409-435.
-
(1989)
Statistical Science
, vol.4
, pp. 409-435
-
-
Sacks, J.1
Welch, W.J.2
Mitchell, T.J.3
Wynn, H.P.4
-
25
-
-
0003495215
-
-
California Scientific Software, Nevada City, CA
-
J. Lawrence, Introduction to Neural Networks: Design, Theory, and Applications, California Scientific Software, Nevada City, CA, 1994.
-
(1994)
Introduction to Neural Networks: Design, Theory, and Applications
-
-
Lawrence, J.1
-
26
-
-
0033351020
-
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
-
28
-
-
0003593041
-
-
PWS Publishing Co, Boston, MA
-
M.T. Hagan, H.B. Demuth, M.H. Beale, Neural Network Design, PWS Publishing Co, Boston, MA, 1997.
-
(1997)
Neural Network Design
-
-
Hagan, M.T.1
Demuth, H.B.2
Beale, M.H.3
-
29
-
-
0001018295
-
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
-
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
-
32
-
-
0034419669
-
Regularization networks and support vector machines
-
T. Evgeniou, M. Pontil, T. Poggio, Regularization Networks and Support Vector Machines, Advances in Computational Mathematics 13 (1) (2000) 1-5.
-
(2000)
Advances in Computational Mathematics
, vol.13
, Issue.1
, pp. 1-5
-
-
Evgeniou, T.1
Pontil, M.2
Poggio, T.3
-
35
-
-
0036532658
-
Metamodeling: Radial basis functions, versus polynomials
-
M.F. Hussain, R.R. Barton, S.B. Joshi, Metamodeling: radial basis functions, versus polynomials, European Journal of Operational Research 138 (1) (2002) 142-154.
-
(2002)
European Journal of Operational Research
, vol.138
, Issue.1
, pp. 142-154
-
-
Hussain, M.F.1
Barton, R.R.2
Joshi, S.B.3
-
36
-
-
77649292637
-
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
-
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
-
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
-
39
-
-
49749135150
-
Kriging metamodeling in constrained simulation optimization: An explorative study
-
W.E. Biles, J.P.C. Kleijnen, W.C.M. van Beers, I. van Nieuwenhuyse, Kriging metamodeling in constrained simulation optimization: an explorative study, Proceedings of Winter Simulation Conference 2007 (2007) 355-362.
-
(2007)
Proceedings of Winter Simulation Conference
, vol.2007
, pp. 355-362
-
-
Biles, W.E.1
Kleijnen, J.P.C.2
Van Beers, W.C.M.3
Van Nieuwenhuyse, I.4
-
41
-
-
0018468345
-
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
-
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
-
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
-
44
-
-
0003463297
-
-
University of Michigan Press, Ann Arbor, MI, USA
-
J. Holland, Adaptation in Natural and Artificial Systems, University of Michigan Press, Ann Arbor, MI, USA, 1975.
-
(1975)
Adaptation in Natural and Artificial Systems
-
-
Holland, J.1
-
45
-
-
0000510934
-
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
-
46
-
-
84980317183
-
Automatic clustering of software systems using a genetic algorithm
-
D. Doval, S. Mancoridis, B.S. Mitchell, Automatic clustering of software systems using a genetic algorithm, in: Proceedings 9th International Workshop Software Technology and Engineering Practice, 1999, pp. 73-81.
-
(1999)
Proceedings 9th International Workshop Software Technology and Engineering Practice
, pp. 73-81
-
-
Doval, D.1
Mancoridis, S.2
Mitchell, B.S.3
-
47
-
-
58749087373
-
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
-
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
-
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
-
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
-
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
-
53
-
-
0034248857
-
Uniform design: Theory and application
-
K.T. Fang, D.K. Lin, P. Winker, Y. Zhang, Uniform design: theory and application, Technometrics 42 (2000) 237-248.
-
(2000)
Technometrics
, vol.42
, pp. 237-248
-
-
Fang, K.T.1
Lin, D.K.2
Winker, P.3
Zhang, Y.4
-
55
-
-
4944230965
-
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
-
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
|