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Volumn 15, Issue 1, 2014, Pages 243-265

Engineering design applications of surrogate-assisted optimization techniques

Author keywords

Expected improvement; Multi objective optimization; Optimization; Sampling plans; Surrogate modeling

Indexed keywords

MULTIOBJECTIVE OPTIMIZATION; OPTIMIZATION;

EID: 84898541706     PISSN: 13894420     EISSN: 15732924     Source Type: Journal    
DOI: 10.1007/s11081-012-9199-x     Document Type: Article
Times cited : (56)

References (39)
  • 4
    • 85086491742 scopus 로고    scopus 로고
    • Using gradients to construct Cokriging approximation models for high-dimensional design optimization problems
    • AIAA-2002-0317Reno, NV
    • Chung H, Alonso J (2002) Using gradients to construct Cokriging approximation models for high-dimensional design optimization problems. In: AIAA 40th aerospace sciences meeting and exhibit, AIAA-2002-0317, Reno, NV.
    • (2002) AIAA 40th Aerospace Sciences Meeting and Exhibit
    • Chung, H.1    Alonso, J.2
  • 5
    • 0036884354 scopus 로고    scopus 로고
    • Low-energy design: combining computer-based optimisation and human judgement
    • Coley D, Schukat S (2002) Low-energy design: combining computer-based optimisation and human judgement. Build Environ 37(12): 1241-1247.
    • (2002) Build Environ , vol.37 , Issue.12 , pp. 1241-1247
    • Coley, D.1    Schukat, S.2
  • 8
    • 0036530772 scopus 로고    scopus 로고
    • A fast and elitist multiobjective genetic algorithm: NSGA II
    • Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: NSGA II. IEEE Trans Evol Comput 6(2): 182-197.
    • (2002) IEEE Trans Evol Comput , vol.6 , Issue.2 , pp. 182-197
    • Deb, K.1    Pratap, A.2    Agarwal, S.3    Meyarivan, T.4
  • 11
    • 58549086381 scopus 로고    scopus 로고
    • Recent advances in surrogate-based optimization
    • Forrester AIJ, Keane AJ (2008) Recent advances in surrogate-based optimization. Prog Aerosp Sci 45(1-3): 50-79.
    • (2008) Prog Aerosp Sci , vol.45 , Issue.1-3 , pp. 50-79
    • Forrester, A.I.J.1    Keane, A.J.2
  • 12
    • 36348935692 scopus 로고    scopus 로고
    • Multi-fidelity optimization via surrogate modelling
    • Forrester AIJ, Sóbester A, Keane AJ (2007) Multi-fidelity optimization via surrogate modelling. Proc R Soc A 463(2088): 3251-3269.
    • (2007) Proc R Soc A , vol.463 , Issue.2088 , pp. 3251-3269
    • Forrester, A.I.J.1    Sóbester, A.2    Keane, A.J.3
  • 15
    • 0017995820 scopus 로고
    • Wing design by numerical optimization
    • Hicks RM, Henne PA (1978) Wing design by numerical optimization. J Aircr 15: 407-412.
    • (1978) J Aircr , vol.15 , pp. 407-412
    • Hicks, R.M.1    Henne, P.A.2
  • 17
    • 0035577808 scopus 로고    scopus 로고
    • A taxonomy of global optimization methods based on response surfaces
    • Jones DR (2001) A taxonomy of global optimization methods based on response surfaces. J Glob Optim 21: 345-383.
    • (2001) J Glob Optim , vol.21 , pp. 345-383
    • Jones, D.R.1
  • 18
    • 0000561424 scopus 로고    scopus 로고
    • Efficient global optimization of expensive black-box functions
    • Jones DR, Schonlau M, Welch WJ (1998) Efficient global optimization of expensive black-box functions. J Glob Optim 13(4): 455-492.
    • (1998) J Glob Optim , vol.13 , Issue.4 , pp. 455-492
    • Jones, D.R.1    Schonlau, M.2    Welch, W.J.3
  • 19
    • 33646437256 scopus 로고    scopus 로고
    • Statistical improvement criteria for use in multiobjective design optimization
    • Keane AJ (2006) Statistical improvement criteria for use in multiobjective design optimization. AIAA J 44(4): 879-891.
    • (2006) Aiaa J , vol.44 , Issue.4 , pp. 879-891
    • Keane, A.J.1
  • 20
    • 0007312235 scopus 로고    scopus 로고
    • Predicting the output from complex computer code when fast approximations are available
    • Kennedy MC, O'Hagan A (2000) Predicting the output from complex computer code when fast approximations are available. Biometrika 87(1): 1-13.
    • (2000) Biometrika , vol.87 , Issue.1 , pp. 1-13
    • Kennedy, M.C.1    O'Hagan, A.2
  • 21
    • 0023483806 scopus 로고
    • Cokriging radar-rainfall and rain-gauge data
    • Krajewski WF (1987) Cokriging radar-rainfall and rain-gauge data. J Geophys Res, Atmos 92(D8): 9571-9580.
    • (1987) J Geophys Res, Atmos , vol.92 , Issue.D8 , pp. 9571-9580
    • Krajewski, W.F.1
  • 22
    • 0000455229 scopus 로고
    • A statistical approach to some basic mine valuation problems on the witwatersrand
    • Krige DG (1951) A statistical approach to some basic mine valuation problems on the witwatersrand. J Chem Metall Min Soc S Afr 52(6): 119-139.
    • (1951) J Chem Metall Min Soc S Afr , vol.52 , Issue.6 , pp. 119-139
    • Krige, D.G.1
  • 23
    • 42949098048 scopus 로고    scopus 로고
    • Universal parametric geometry representation method
    • doi:10.2514/1.29958
    • Kulfan BM (2008) Universal parametric geometry representation method. J Aircr 45(1): 142-158. doi: 10. 2514/1. 29958.
    • (2008) J Aircr , vol.45 , Issue.1 , pp. 142-158
    • Kulfan, B.M.1
  • 25
    • 84865486245 scopus 로고
    • Principles of geostatistics
    • Matheron G (1963) Principles of geostatistics. Econ Geol 58: 1246-1266.
    • (1963) Econ Geol , vol.58 , pp. 1246-1266
    • Matheron, G.1
  • 26
    • 0018468345 scopus 로고
    • A comparison of three methods for selecting values of input variables in the analysis of output from a computer code
    • McKay MD, Conover WJ, Beckman RJ (1979) A comparison of three methods for selecting values of input variables in the analysis of output from a computer code. Technometrics 21: 239-245.
    • (1979) Technometrics , vol.21 , pp. 239-245
    • McKay, M.D.1    Conover, W.J.2    Beckman, R.J.3
  • 27
    • 0003098328 scopus 로고
    • Exploratory designs for computational experiments
    • Morris MD, Mitchell TJ (1995) Exploratory designs for computational experiments. J Stat Plan Inference 43: 381-402.
    • (1995) J Stat Plan Inference , vol.43 , pp. 381-402
    • Morris, M.D.1    Mitchell, T.J.2
  • 28
    • 0036788944 scopus 로고    scopus 로고
    • Applying the building energy simulation test (BESTEST) diagnostic method to verification of space conditioning equipment models used in whole-building energy simulation programs
    • Neymark J, Judkoff R, Knabe G, Le H, Rig M, Glass A, Zweifel G (2002) Applying the building energy simulation test (BESTEST) diagnostic method to verification of space conditioning equipment models used in whole-building energy simulation programs. Energy Build 34: 917-931.
    • (2002) Energy Build , vol.34 , pp. 917-931
    • Neymark, J.1    Judkoff, R.2    Knabe, G.3    Le, H.4    Rig, M.5    Glass, A.6    Zweifel, G.7
  • 29
    • 0035336348 scopus 로고    scopus 로고
    • Survey of shape parameterization techniques for high-fidelity multidisciplinary shape optimization
    • Samareh J (2001) Survey of shape parameterization techniques for high-fidelity multidisciplinary shape optimization. AIAA J 29(5): 877-884.
    • (2001) Aiaa J , vol.29 , Issue.5 , pp. 877-884
    • Samareh, J.1
  • 31
    • 0035659213 scopus 로고    scopus 로고
    • Kriging models for global approximation in simulation-based multidisciplinary design optimization
    • Simpson T, Mistree F (2001) Kriging models for global approximation in simulation-based multidisciplinary design optimization. AIAA J 39(12): 2233-2241.
    • (2001) Aiaa J , vol.39 , Issue.12 , pp. 2233-2241
    • Simpson, T.1    Mistree, F.2
  • 32
    • 67649224196 scopus 로고    scopus 로고
    • Concise airfoil representation via case-based knowledge capture
    • Sóbester A (2009) Concise airfoil representation via case-based knowledge capture. AIAA J 47(5): 1209-1218.
    • (2009) Aiaa J , vol.47 , Issue.5 , pp. 1209-1218
    • Sóbester, A.1
  • 33
    • 27744559833 scopus 로고    scopus 로고
    • On the design of optimization strategies based on global response surface approximation models
    • Sóbester A, Leary SJ, Keane AJ (2003) On the design of optimization strategies based on global response surface approximation models. J Glob Optim 33(1): 31-59.
    • (2003) J Glob Optim , vol.33 , Issue.1 , pp. 31-59
    • Sóbester, A.1    Leary, S.J.2    Keane, A.J.3
  • 36
    • 84898549783 scopus 로고    scopus 로고
    • USDE, Available to download at, Accessed Mar 2010
    • USDE (2010) Energy plus simulation tool. Available to download at http://apps1. eere. energy. gov/buildings/energyplus/. Accessed Mar 2010.
    • (2010) Energy plus simulation tool
  • 37
    • 21844476429 scopus 로고    scopus 로고
    • Applying multi-objective genetic algorithms in green building design optimization
    • Wang W, Zmeureanu R, Rivard H (2005) Applying multi-objective genetic algorithms in green building design optimization. Build Environ 40: 1512-1525.
    • (2005) Build Environ , vol.40 , pp. 1512-1525
    • Wang, W.1    Zmeureanu, R.2    Rivard, H.3
  • 39
    • 0036787142 scopus 로고    scopus 로고
    • Optimization of building thermal design and control by multi-criterion genetic algorithm
    • Wright A, Loosemore H, Farmani R (2002) Optimization of building thermal design and control by multi-criterion genetic algorithm. Energy Build 34: 959-972.
    • (2002) Energy Build , vol.34 , pp. 959-972
    • Wright, A.1    Loosemore, H.2    Farmani, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.