The integration of design of experiments, surrogate modeling and optimization for thermoscience research

Engineering with Computers

Volumn 20, Issue 4, 2005, Pages 309-315

  Queipo, Néstor V ^a   Arévalo, Carlos J ^a   Pintos, Salvador ^a  

^a UNIVERSIDAD DEL ZULIA   (Venezuela)

Author keywords

DOE; Optimization; Soft computing; Surrogate modeling

Indexed keywords

COMPUTER AIDED DESIGN; COMPUTER SIMULATION; FUZZY SETS; GENETIC ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS; THERMODYNAMICS;

DESIGN OF COMPUTATIONAL EXPERIMENTS (DOE); SOFT COMPUTING; SURROGATE MODELING; THERMOSCIENCE RESEARCH;

OPTIMIZATION;

EID: 23144450776     PISSN: 01770667     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00366-004-0299-x     Document Type: Article

References (22)

1. Gaston G, Walton A (1994) The integration of simulation and response surface methodology for the optimization of IC processes. IEEE Trans Semicond Manuf 7(1):22-33 10.1109/66.286830
2. Yesilyurt S, Patera A (1995) Surrogate for numerical simulations: optimization of eddy-promoter heat exchangers. Comput Meth Appl Mech Eng 121:231-257 10.1016/0045-7825(94)00684-F
3. Bernardo M et al (1992) Integrated circuit design optimization using a sequential strategy. IEEE Trans Comput Aided Des 11(3):361-372
4. Xie H et al (1994) Process optimization using a fuzzy logic response surface method. IEEE Trans Compon Packaging Manuf Technol 17(2):202-211
5. Yesilyurt S et al (1996) Bayesian-validated surrogates for noisy computer simulations: Application to random media. SIAM J Sci Comput 17(4):973-992 97e:65013
6. Osio I, Amon C (1996) An engineering design methodology with multistage bayesian surrogates and optimal sampling. Res Eng Des 8(4):189-206
7. Egan E, Amon C (2000) Cooling strategies for embedded electronic components of wearable computers fabricated by shape deposition manufacturing. J Electron Packag 122(2):98-106 10.1115/1.483140
8. Leoni N, Amon CH (2000) Bayesian surrogates for integrating numerical, analytical, and experimental data: Application to inverse heat transfer in wearable computers. IEEE Trans Compon Packag Manuf Technol 23:23-33 10.1109/6144.833038
9. Balanchandran M, Gero J (1984) A comparison of three methods for generating the pareto optimal set. Eng Optimiz 7:319-336
10. R Keeney H Raiffa 1993 Design with multiple objectives Cambridge University Press
11. Queipo N, Humphrey J, Ortega A (1998) Multiobjective optimal placement of convectively cooled electronic components on printed wiring boards. IEEE Trans Compon Packag Manuf Technol 21(1):142-153
12. C Rao 1973 Linear statistical inference and its applications 2nd edn. Wiley New York
13. Mitchel T (1974) Computer construction of first order d-optimal designs. Technometrics 16(2):211-220
14. McKay M, Beckman R, Conover W (1979) A comparison of three methods for selecting values of input variables in the analysis of output from a computer code. Technometrics 21(2):239-245 80k:65012
15. R Hecht-Nielsen 1989 Neurocomputing Addison Wesley Reading
16. Takagi T, Sugeno M (1985) Fuzzy identification of systems and its application to modeling and control. IEEE Trans Syst Man Cybern 15(1):116-132 0576.93021
17. Sugeno M, Kang G (1988) Structure identification of fuzzy model. Fuzzy Sets Syst 28:15-33 10.1016/0165-0114(88)90113-3
18. J Holland 1975 Adaptation in natural and artificial systems MIT Cambridge
19. D Goldberg 1989 Genetic algorithms in search, optimization and machine learning Addison Wesley Reading
20. Queipo N, Devarakonda R, Humphrey J (1994) Genetic algorithms for thermoscience research: Application to the optimized cooling of electronic components. Int J Heat Mass Transf 37(6):893-908 10.1016/0017-9310(94)90215-1
21. Wang L, Langari R (1995) Building sugeno-type models using fuzzy discretization and orthogonal parameter estimation techniques. IEEE Trans Fuzzy Syst 3(4):454-458 10.1109/91.481954
22. Sugeno M, Yasukawa T (1993) A fuzzy-logic-based approach to qualitative modeling. IEEE Trans Fuzzy Syst 1(1):7-31 1009.68147