Shape optimisation method based on the surrogate models in the parallel asynchronous environment
[Display omitted] •This paper introduces Parallel Asynchronous Surrogate Model (PASM) method for Engineering Design Optimisation.•The PASM method is enhanced by the use of the Cornering technique (PASM+C), which selects the best performing designs in the corners of the parametric design space.•The p...
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| Vydáno v: | Applied soft computing Ročník 71; s. 1189 - 1203 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier B.V
01.10.2018
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| Témata: | |
| ISSN: | 1568-4946, 1872-9681 |
| On-line přístup: | Získat plný text |
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| Abstract | [Display omitted]
•This paper introduces Parallel Asynchronous Surrogate Model (PASM) method for Engineering Design Optimisation.•The PASM method is enhanced by the use of the Cornering technique (PASM+C), which selects the best performing designs in the corners of the parametric design space.•The performance and other features of PASM and hybrid PASM+C are compared with variety of popular optimisation methods in the test case of car aerodynamics shape optimisation.•This study provides insight into the wallclock time, fault tolerance and computing resources needed for the minimisation of the objective function, important factors when using cloud-based High Performance Computing (HPC) services.
This paper proposes a new optimisation method, the Parallel Asynchronous Surrogate Model (PASM) method, which is based on the surrogate models approximation and takes advantage of the asynchronous, parallel processing threads. Additionally, it introduces the Cornering technique (PASM+C), which by using values from the corners of the design space provides a rapid drop of the value of the objective function and a significant reduction of the processing time.
An overview and characteristics of the main reference optimisation methods, like Particle Swarm Optimisation PSO and Genetic Algorithm (GA), is presented, together with the results of the computer experiments involving optimisation of the generic car body shape. Significant attention is devoted to the time and computational effort needed for drag minimization by using different optimisation schemes.
Finally, the benefits and limitations of the proposed methods are discussed together with their potential impact on the optimisation process workflow. |
|---|---|
| AbstractList | [Display omitted]
•This paper introduces Parallel Asynchronous Surrogate Model (PASM) method for Engineering Design Optimisation.•The PASM method is enhanced by the use of the Cornering technique (PASM+C), which selects the best performing designs in the corners of the parametric design space.•The performance and other features of PASM and hybrid PASM+C are compared with variety of popular optimisation methods in the test case of car aerodynamics shape optimisation.•This study provides insight into the wallclock time, fault tolerance and computing resources needed for the minimisation of the objective function, important factors when using cloud-based High Performance Computing (HPC) services.
This paper proposes a new optimisation method, the Parallel Asynchronous Surrogate Model (PASM) method, which is based on the surrogate models approximation and takes advantage of the asynchronous, parallel processing threads. Additionally, it introduces the Cornering technique (PASM+C), which by using values from the corners of the design space provides a rapid drop of the value of the objective function and a significant reduction of the processing time.
An overview and characteristics of the main reference optimisation methods, like Particle Swarm Optimisation PSO and Genetic Algorithm (GA), is presented, together with the results of the computer experiments involving optimisation of the generic car body shape. Significant attention is devoted to the time and computational effort needed for drag minimization by using different optimisation schemes.
Finally, the benefits and limitations of the proposed methods are discussed together with their potential impact on the optimisation process workflow. |
| Author | Rokicki, Jacek Przysowa, Krzysztof Łaniewski-Wołłk, Łukasz |
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| Cites_doi | 10.1115/1.2429697 10.1108/02644400210430190 10.1016/S0167-739X(00)00071-6 10.1016/j.jspi.2004.08.007 10.1007/978-3-540-68942-3_25 10.1016/j.camwa.2015.12.043 10.1016/S0045-7825(00)00201-2 10.1007/s10898-010-9620-y 10.1023/A:1008306431147 10.1007/s00158-002-0277-0 10.1109/ICNN.1995.488968 10.1016/j.compfluid.2011.01.042 10.1007/s00158-016-1432-3 10.1016/j.paerosci.2005.02.001 10.1007/s11081-009-9085-3 10.1016/j.asoc.2017.04.017 10.1515/meceng-2015-0026 10.1007/BF02739235 10.1016/S0263-8231(98)00016-0 10.1007/s10710-009-9090-5 10.1115/GT2007-28204 10.1287/ijoc.1060.0182 10.1016/j.compfluid.2014.02.004 10.1109/WSC.2004.1371308 10.20485/jsaeijae.7.1_1 10.4271/2010-01-0513 10.1007/s10287-008-0080-5 10.2514/1.J050384 10.4271/2011-37-0016 10.1177/0954407015624042 10.1080/03052150108940940 10.1093/comjnl/7.4.308 |
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| Keywords | Cloud computing High performance computing Corners of the optimisation domain Parallel optimisation Car aerodynamics Mixed surrogate models |
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| References | Jones, Müller, Christakopoulos (bib0440) 2011; 46 Jin, Du, Chen (bib0300) 2003; 25 Campana, Liuzzi, Lucidi, Peri, Piccialli, Pinto (bib0340) 2009; 10 Łaniewski-Wołłk, Rokicki (bib0430) 2016; 71 Burczyński, Długosz, Kuś (bib0140) 2006; 44 Müller (bib0030) 2012 McKay, Beckman, Conover (bib0245) 1979; 21 Long, Liu, Peng, Li (bib0130) 2012 Ando, Takamura, Saito (bib0135) 2010; 3 Ribaldone, Scantamburlo (bib0045) 2010 Ginsbourger, Le Riche, Carraro (bib0105) 2010 Stander, Graig (bib0180) 2002; 19 Gilkeson, Toropov, Thompson, Wilson, Foxley, Gaskell (bib0295) 2014; 94 M. Samples, A. Gaylard, S. Windsor, Aerodynamic development of the Range Rover Evoque, in: 8th MIRA Aerodynamics Conference. Asouti, Kampolis, Giannakoglou (bib0095) 2009; 10 G. Lombardi, M. Maganzi, F. Cannizzo, E. Cardile, Use of the CFD for the aerodynamic optimization of the car shape: Problems and application, in: 4th European Automotive Simulation Conference. Piechna (bib0420) 2000 Van Haaren (bib0020) 2011; 51 A. Huppertz, P.M. Flassig, R.J. Flassig, M. Swoboda, Knowledge-based 2D blade design using multi-objective aerodynamic optimization and a neural network, ASME Paper No. GT2007-28204. Müller (bib0220) 2014 OpenCFD Ltd (bib0400) 2014 Kennedy, Eberhart (bib0145) 1995 Wickramasinghe, Carrese, Li (bib0160) 2010 S. Skinner, H. Zare-Behtash, State-of-the-art in aerodynamic shape optimisation methods, Appl. Soft Comput. G. Buresti, G. Iungo, G. Lombardi, Methods for the drag reduction of bluff bodies and their application to heavy road-vehicles, 1st Interim Report Contract between CRF and DIA, DDIA2007-6. Le Good, Johnson, Clough, Lewis (bib0005) 2011; 4 Janusevskis, Le Riche, Ginsbourger, Girdziusas (bib0100) 2012 Thomas, Carsten (bib0405) 2016; 7 Hu, Yang, Lei, Wang, Li, Liao, Xu (bib0370) 2016; 230 Gong, Gu, Li, Song, Wang (bib0205) 2010 Lophaven, Nielsen, Søndergaard (bib0250) 2002 Rokicki, Żółtak, Drikakis, Majewski (bib0070) 2001; 18 G.L. Good, K. Garry, On the use of reference models in automotive aerodynamics, in: SAE World Congress 1308. Hall (bib0170) 2010; 7 Liu, Han, Song (bib0255) 2012 S. Krajnovic, Aerodynamic optimization of vehicles using computational fluid dynamics and response surface methodology, Science & Motor Vehicles Belgrad. Friedman (bib0280) 1991 den Braembussche (bib0350) 2008 Bakshi, Jawad, Arslan, Yee, Liu (bib0175) 2015 Janson, Piechna (bib0410) 2015; 62 J. Müller, User Guide for Modularized Surrogate Model Toolbox, Department of Mathematics, Tampere University of Technology, Tampere, Finland. Ahmed, Chacko (bib0375) 2012 S.A. Beta Cae Systems, ANSA User Guide, v15.1.x. Wang, Shan (bib0230) 2007; 129 F. Campos, P. Geremia, E. Skaperdas, Automatic optimization of automotive designs using mesh morphing and CFD, in: Proceedings of the 3rd EACC, Frankfurt, Germany. Jones, Schonlau, Welch (bib0210) 1998; 13 Stavropoulou, Hojjat, Bletzinger (bib0435) 2013 Lietz (bib0265) 2011 Jagrik, Klepacek, Jakubec, Hulicka (bib0035) 2008 Haftka, Villanueva, Chaudhuri (bib0090) 2016; 54 Schittkowski (bib0190) 1986; 5 (bib0415) 2013 Barr, Blog (bib0050) 2016 A.M. Gilhaus, V.E. Renn, Drag and driving-stability-related aerodynamic forces and their interdependence: results of measurements on 3/8-scale basic car shapes, SAE Technical Paper 860211. Venturelli, Benini, Łaniewski-Wołłk (bib0085) 2017; 58 GmbH (bib0150) 2014 Greenshields (bib0055) 2016 Van Beers, Kleijnen (bib0320) 2004 Venter, Sobieszczanski-Sobieski (bib0155) 2002 Bartoli, Lefebvre, Dubreuil, Olivanti, Bons, Martins, Bouhlel, Morlier (bib0195) 2017 Ahmed, Qin (bib0215) 2009 Regis, Shoemaker (bib0275) 2007; 19 Behr (bib0060) 2000; 190 Kim, Pattermann, Justin, Mokhtar (bib0385) 2011 Amdahl (bib0065) 1967 Jaworski, Müller (bib0425) 2008 R. Lewis, A. Mosedale, I. Annetts, Using OpenFOAM and ANSA for road and race car CFD, in: 3rd ANSA & BETA International Conference. Mason, Haftka, Johnson, Farley (bib0335) 1998; 32 Nelder, Mead (bib0165) 1965; 7 Perzon (bib0380) 2001 Wang, Borland, Sajaev (bib0115) 2011 Dumas (bib0040) 2008 G. Carr, W. Stepleford, Blockage Effects in Automotive Wind-tunnel Testing, SAE Technical Paper 860093. D. Bingham, P. Ranjan, W.J. Welch, Design of computer experiments for optimization, estimation of function contours, and related objectives, Statistics in Action: A Canadian Outlook 109. J. Rokicki, W. Stalewski, J. Zoltak, Multi-disciplinary optimisation of forward-swept wing, in: T. Burczynski, J. Periaux (Eds.), Evolutionary Methods for Design, Optimization and Control, CIMNE, Barcelona, Spain. Wang, Dong, Aitchison (bib0185) 2001; 33 Bursztyn, Steinberg (bib0325) 2006; 136 A. Wagner, The aerodynamics of the new Audi Q5, in: 7th MIRA International Vehicle Aerodynamics Conference. S.N. Lophaven, H.B. Nielsen, J. Søndergaard, DACE – A MATLAB Kriging Toolbox, Version 2.0. K.J. Craig, N. Stander, D. Dooge, S. Varadappa, MDO of automotive vehicle for crashworthiness and NVH using response surface methods, AIAA Paper 5607. Müller, Piché (bib0285) 2011; 51 E. Stavropoulou, M. Hojjat, K.-U. Bletzinger, Fluid optimisation workflows for highly effective automotive development processes. Petropoulou (bib0080) 2010 H. Holland John, Adaptation in Natural and Artificial Systems: An Introductory Analysis With Applications to Biology, Control, and Artificial Intelligence, University of Michigan, USA. Kuya, Takeda, Zhang, Forrester (bib0310) 2011; 49 Othmer (bib0345) 2014; 4 Queipo, Haftka, Shyy, Goel, Vaidyanathan, Tucker (bib0240) 2005; 41 Jones (bib0235) 1996 10.1016/j.asoc.2018.04.028_bib0015 Lietz (10.1016/j.asoc.2018.04.028_bib0265) 2011 Thomas (10.1016/j.asoc.2018.04.028_bib0405) 2016; 7 Janson (10.1016/j.asoc.2018.04.028_bib0410) 2015; 62 Müller (10.1016/j.asoc.2018.04.028_bib0220) 2014 10.1016/j.asoc.2018.04.028_bib0010 McKay (10.1016/j.asoc.2018.04.028_bib0245) 1979; 21 10.1016/j.asoc.2018.04.028_bib0330 Le Good (10.1016/j.asoc.2018.04.028_bib0005) 2011; 4 Petropoulou (10.1016/j.asoc.2018.04.028_bib0080) 2010 Jones (10.1016/j.asoc.2018.04.028_bib0235) 1996 Liu (10.1016/j.asoc.2018.04.028_bib0255) 2012 Ribaldone (10.1016/j.asoc.2018.04.028_bib0045) 2010 Müller (10.1016/j.asoc.2018.04.028_bib0285) 2011; 51 10.1016/j.asoc.2018.04.028_bib0290 Bakshi (10.1016/j.asoc.2018.04.028_bib0175) 2015 OpenCFD Ltd (10.1016/j.asoc.2018.04.028_bib0400) 2014 Van Beers (10.1016/j.asoc.2018.04.028_bib0320) 2004 Venturelli (10.1016/j.asoc.2018.04.028_bib0085) 2017; 58 den Braembussche (10.1016/j.asoc.2018.04.028_bib0350) 2008 Hall (10.1016/j.asoc.2018.04.028_bib0170) 2010; 7 Ahmed (10.1016/j.asoc.2018.04.028_bib0215) 2009 Wickramasinghe (10.1016/j.asoc.2018.04.028_bib0160) 2010 10.1016/j.asoc.2018.04.028_bib0025 Ginsbourger (10.1016/j.asoc.2018.04.028_bib0105) 2010 Friedman (10.1016/j.asoc.2018.04.028_bib0280) 1991 Long (10.1016/j.asoc.2018.04.028_bib0130) 2012 10.1016/j.asoc.2018.04.028_bib0225 Haftka (10.1016/j.asoc.2018.04.028_bib0090) 2016; 54 Mason (10.1016/j.asoc.2018.04.028_bib0335) 1998; 32 Van Haaren (10.1016/j.asoc.2018.04.028_bib0020) 2011; 51 Venter (10.1016/j.asoc.2018.04.028_bib0155) 2002 Stavropoulou (10.1016/j.asoc.2018.04.028_bib0435) 2013 Othmer (10.1016/j.asoc.2018.04.028_bib0345) 2014; 4 10.1016/j.asoc.2018.04.028_bib0260 Jagrik (10.1016/j.asoc.2018.04.028_bib0035) 2008 Perzon (10.1016/j.asoc.2018.04.028_bib0380) 2001 Schittkowski (10.1016/j.asoc.2018.04.028_bib0190) 1986; 5 Bursztyn (10.1016/j.asoc.2018.04.028_bib0325) 2006; 136 Bartoli (10.1016/j.asoc.2018.04.028_bib0195) 2017 10.1016/j.asoc.2018.04.028_bib0305 Janusevskis (10.1016/j.asoc.2018.04.028_bib0100) 2012 Jin (10.1016/j.asoc.2018.04.028_bib0300) 2003; 25 10.1016/j.asoc.2018.04.028_bib0355 Piechna (10.1016/j.asoc.2018.04.028_bib0420) 2000 Amdahl (10.1016/j.asoc.2018.04.028_bib0065) 1967 10.1016/j.asoc.2018.04.028_bib0395 10.1016/j.asoc.2018.04.028_bib0110 Wang (10.1016/j.asoc.2018.04.028_bib0185) 2001; 33 10.1016/j.asoc.2018.04.028_bib0270 10.1016/j.asoc.2018.04.028_bib0075 Jones (10.1016/j.asoc.2018.04.028_bib0210) 1998; 13 10.1016/j.asoc.2018.04.028_bib0390 Kennedy (10.1016/j.asoc.2018.04.028_bib0145) 1995 Kim (10.1016/j.asoc.2018.04.028_bib0385) 2011 Lophaven (10.1016/j.asoc.2018.04.028_bib0250) 2002 GmbH (10.1016/j.asoc.2018.04.028_bib0150) 2014 10.1016/j.asoc.2018.04.028_bib0315 Dumas (10.1016/j.asoc.2018.04.028_bib0040) 2008 Gilkeson (10.1016/j.asoc.2018.04.028_bib0295) 2014; 94 Gong (10.1016/j.asoc.2018.04.028_bib0205) 2010 Jaworski (10.1016/j.asoc.2018.04.028_bib0425) 2008 10.1016/j.asoc.2018.04.028_bib0125 10.1016/j.asoc.2018.04.028_bib0120 Campana (10.1016/j.asoc.2018.04.028_bib0340) 2009; 10 Behr (10.1016/j.asoc.2018.04.028_bib0060) 2000; 190 Burczyński (10.1016/j.asoc.2018.04.028_bib0140) 2006; 44 Hu (10.1016/j.asoc.2018.04.028_bib0370) 2016; 230 10.1016/j.asoc.2018.04.028_bib0200 10.1016/j.asoc.2018.04.028_bib0365 Barr (10.1016/j.asoc.2018.04.028_bib0050) 2016 10.1016/j.asoc.2018.04.028_bib0360 Stander (10.1016/j.asoc.2018.04.028_bib0180) 2002; 19 Greenshields (10.1016/j.asoc.2018.04.028_bib0055) 2016 Queipo (10.1016/j.asoc.2018.04.028_bib0240) 2005; 41 Kuya (10.1016/j.asoc.2018.04.028_bib0310) 2011; 49 Ando (10.1016/j.asoc.2018.04.028_bib0135) 2010; 3 Wang (10.1016/j.asoc.2018.04.028_bib0115) 2011 Nelder (10.1016/j.asoc.2018.04.028_bib0165) 1965; 7 Jones (10.1016/j.asoc.2018.04.028_bib0440) 2011; 46 Regis (10.1016/j.asoc.2018.04.028_bib0275) 2007; 19 (10.1016/j.asoc.2018.04.028_bib0415) 2013 Rokicki (10.1016/j.asoc.2018.04.028_bib0070) 2001; 18 Asouti (10.1016/j.asoc.2018.04.028_bib0095) 2009; 10 Łaniewski-Wołłk (10.1016/j.asoc.2018.04.028_bib0430) 2016; 71 Müller (10.1016/j.asoc.2018.04.028_bib0030) 2012 Wang (10.1016/j.asoc.2018.04.028_bib0230) 2007; 129 Ahmed (10.1016/j.asoc.2018.04.028_bib0375) 2012 |
| References_xml | – start-page: 23 year: 2012 end-page: 28 ident: bib0255 article-title: Comparison of infill sampling criteria in kriging-based aerodynamic optimization publication-title: 28th Congress of the International Council of the Aeronautical Sciences – year: 2013 ident: bib0435 article-title: Uncertainty Management for Robust Industrial Design in Aeronautics – volume: 58 start-page: 155 year: 2017 end-page: 175 ident: bib0085 article-title: A kriging-assisted multiobjective evolutionary algorithm publication-title: Appl. Soft Comput. – start-page: 17 year: 2012 end-page: 19 ident: bib0130 article-title: Aero-structure coupled optimization of high aspect ratio wing using enhanced adaptive response surface method publication-title: 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Indianapolis, Indiana – start-page: 1 year: 1991 end-page: 67 ident: bib0280 article-title: Multivariate adaptive regression splines publication-title: Ann. Stat. – start-page: 483 year: 1967 end-page: 485 ident: bib0065 article-title: Validity of the single processor approach to achieving large scale computing capabilities publication-title: Proceedings of the April 18–20, 1967, Spring Joint Computer Conference, ACM – reference: S.A. Beta Cae Systems, ANSA User Guide, v15.1.x. – volume: 4 start-page: 2638 year: 2011 end-page: 2658 ident: bib0005 article-title: The aesthetics of low drag vehicles publication-title: SAE Int. J. Engines – volume: 129 start-page: 370 year: 2007 end-page: 380 ident: bib0230 article-title: Review of metamodeling techniques in support of engineering design optimization publication-title: J. Mech. Des. – reference: G. Carr, W. Stepleford, Blockage Effects in Automotive Wind-tunnel Testing, SAE Technical Paper 860093. – reference: S. Skinner, H. Zare-Behtash, State-of-the-art in aerodynamic shape optimisation methods, Appl. Soft Comput. – volume: 62 start-page: 451 year: 2015 end-page: 476 ident: bib0410 article-title: Numerical analysis of aerodynamic characteristics of a of high-speed car with movable bodywork elements publication-title: Arch. Mech. Eng. – volume: 5 start-page: 485 year: 1986 end-page: 500 ident: bib0190 article-title: NLPQL: a Fortran subroutine for solving constrained nonlinear programming problems publication-title: Ann. Oper. Res. – reference: J. Rokicki, W. Stalewski, J. Zoltak, Multi-disciplinary optimisation of forward-swept wing, in: T. Burczynski, J. Periaux (Eds.), Evolutionary Methods for Design, Optimization and Control, CIMNE, Barcelona, Spain. – volume: 33 start-page: 707 year: 2001 end-page: 733 ident: bib0185 article-title: Adaptive response surface method. a global optimization publication-title: Eng. Optim. – year: 2000 ident: bib0420 article-title: Podstawy aerodynamiki pojazdów – volume: 32 start-page: 235 year: 1998 end-page: 261 ident: bib0335 article-title: Variable complexity design of composite fuselage frames by response surface techniques publication-title: Thin-walled Struct. – year: 2013 ident: bib0415 publication-title: Aerodynamics of Road Vehicles: From Fluid Mechanics to Vehicle Engineering – start-page: 110 year: 2010 end-page: 119 ident: bib0045 article-title: Application of multi-objective optimization to the aerodynamic development of passenger cars at FIAT publication-title: 8th MIRA International Vehicle Aerodynamics Conference – volume: 18 start-page: 3 year: 2001 end-page: 15 ident: bib0070 article-title: Parallel performance of overlapping mesh technique for compressible flows publication-title: Future Gener. Comput. Syst. – volume: 71 start-page: 833 year: 2016 end-page: 848 ident: bib0430 article-title: Adjoint lattice Boltzmann for topology optimization on multi-GPU architecture publication-title: Comput. Math. Appl. – year: 1995 ident: bib0145 article-title: Particle swarm optimization publication-title: Proceedings of the IEEE International Conference on Neural Networks, vol. 4 – reference: R. Lewis, A. Mosedale, I. Annetts, Using OpenFOAM and ANSA for road and race car CFD, in: 3rd ANSA & BETA International Conference. – reference: S. Krajnovic, Aerodynamic optimization of vehicles using computational fluid dynamics and response surface methodology, Science & Motor Vehicles Belgrad. – start-page: 313 year: 2012 end-page: 318 ident: bib0375 article-title: Computational optimization of vehicle aerodynamics publication-title: Proc. of the 23rd International DAAM Symposium, vol. 23 – start-page: 4 year: 2002 end-page: 6 ident: bib0155 article-title: Multidisciplinary optimization of a transport aircraft wing using particle swarm optimization publication-title: 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization – volume: 4 start-page: 1 year: 2014 end-page: 23 ident: bib0345 article-title: Adjoint methods for car aerodynamics publication-title: J. Math. Ind. – volume: 10 start-page: 373 year: 2009 end-page: 389 ident: bib0095 article-title: A grid-enabled asynchronous metamodel-assisted evolutionary algorithm for aerodynamic optimization publication-title: Genet. Program. Evol. Mach. – start-page: 4433 year: 2017 ident: bib0195 article-title: An adaptive optimization strategy based on mixture of experts for wing aerodynamic design optimization publication-title: 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference – year: 2011 ident: bib0385 article-title: CFD optimization via sensitivity-based shape morphing publication-title: Proceedings of the 2011 ASEE North Central & Illinois-Indiana Section Conference – year: 2004 ident: bib0320 article-title: Kriging interpolation in simulation: a survey publication-title: Simulation Conference, 2004, Proceedings of the 2004 Winter, vol. 1, IEEE – reference: J. Müller, User Guide for Modularized Surrogate Model Toolbox, Department of Mathematics, Tampere University of Technology, Tampere, Finland. – volume: 44 start-page: 351 year: 2006 end-page: 366 ident: bib0140 article-title: Parallel evolutionary algorithms in shape optimization of heat radiators publication-title: J. Theor. Appl. Mech. – volume: 94 start-page: 84 year: 2014 end-page: 97 ident: bib0295 article-title: Dealing with numerical noise in CFD-based design optimization publication-title: Comput. Fluids – volume: 230 start-page: 1808 year: 2016 end-page: 1821 ident: bib0370 article-title: Automotive shape optimization using the radial basis function model based on a parametric surface grid publication-title: Proc. Inst. Mech. Eng. Part D: J. Autom. Eng. – year: 2014 ident: bib0150 article-title: Methods for Multi-Disciplinary Optimization and Robustness Analysis – volume: 19 start-page: 431 year: 2002 end-page: 450 ident: bib0180 article-title: On the robustness of a simple domain reduction scheme for simulation-based optimization publication-title: Eng. Comput. – year: 2010 ident: bib0080 article-title: Industrial optimisation solutions based on OpenFOAM technology publication-title: V European Conference on Computational Fluid Dynamics ECCOMAS – reference: A.M. Gilhaus, V.E. Renn, Drag and driving-stability-related aerodynamic forces and their interdependence: results of measurements on 3/8-scale basic car shapes, SAE Technical Paper 860211. – volume: 13 start-page: 455 year: 1998 end-page: 492 ident: bib0210 article-title: Efficient global optimization of expensive black-box functions publication-title: J. Global Optim. – volume: 41 start-page: 1 year: 2005 end-page: 28 ident: bib0240 article-title: Surrogate-based analysis and optimization publication-title: Prog. Aerosp. Sci. – year: 2010 ident: bib0205 article-title: Aerodynamic shape Optimization of a Container-truck's Wind Deflector Using Approximate Model – reference: E. Stavropoulou, M. Hojjat, K.-U. Bletzinger, Fluid optimisation workflows for highly effective automotive development processes. – volume: 25 start-page: 99 year: 2003 end-page: 116 ident: bib0300 article-title: The use of metamodeling techniques for optimization under uncertainty publication-title: Struct. Multidiscip. Optim. – volume: 54 start-page: 3 year: 2016 end-page: 13 ident: bib0090 article-title: Parallel surrogate-assisted global optimization with expensive functions – a survey publication-title: Struct. Multidiscip. Optim. – reference: A. Wagner, The aerodynamics of the new Audi Q5, in: 7th MIRA International Vehicle Aerodynamics Conference. – volume: 3 start-page: 398 year: 2010 end-page: 406 ident: bib0135 article-title: Automotive aerodynamic design exploration employing new optimization methodology based on CFD publication-title: SAE Int. J. Passeng. Cars-Mech. Syst. – reference: G.L. Good, K. Garry, On the use of reference models in automotive aerodynamics, in: SAE World Congress 1308. – start-page: 1 year: 2010 end-page: 8 ident: bib0160 article-title: Designing airfoils using a reference point based evolutionary many-objective particle swarm optimization algorithm publication-title: 2010 IEEE Congress on Evolutionary Computation (CEC) – start-page: 62 year: 2008 end-page: 74 ident: bib0035 article-title: Aerodynamic development of the Skoda Roomster publication-title: 7th MIRA International Vehicle Aerodynamics Conference – start-page: 26 year: 2009 end-page: 28 ident: bib0215 article-title: Surrogate-based aerodynamic design optimization: use of surrogates in aerodynamic design optimization publication-title: 13th International Conference on Aerospace Science & Aviation Technology – year: 2002 ident: bib0250 article-title: Aspects of the MATLAB Toolbox DACE, Tech. rep. – year: 2001 ident: bib0380 article-title: On Blockage Effects in Wind Tunnels—a CFD Study – year: 2011 ident: bib0265 article-title: Vehicle Aerodynamic Shape Optimization – reference: F. Campos, P. Geremia, E. Skaperdas, Automatic optimization of automotive designs using mesh morphing and CFD, in: Proceedings of the 3rd EACC, Frankfurt, Germany. – volume: 51 start-page: 53 year: 2011 ident: bib0020 publication-title: Assessment of Electric Cars Range Requirements and Usage Patterns Based on Driving Behavior Recorded in the National Household Travel Survey of 2009 – year: 2016 ident: bib0055 article-title: Cost of CFD in the Cloud – start-page: 787 year: 2011 end-page: 789 ident: bib0115 article-title: Exploration of parallel optimization techniques for accelerator design publication-title: Proceedings of 2011 Particle Accelerator Conference – start-page: 281 year: 2008 end-page: 291 ident: bib0425 article-title: Toward modular multigrid design optimisation publication-title: Adv. Automat. Differ. – start-page: 131 year: 2010 end-page: 162 ident: bib0105 article-title: Kriging is well-suited to parallelize optimization publication-title: Computational Intelligence in Expensive Optimization Problems – volume: 7 start-page: 139 year: 2010 end-page: 170 ident: bib0170 article-title: Towards a practical parallelisation of the simplex method publication-title: Comput. Manag. Sci. – reference: A. Huppertz, P.M. Flassig, R.J. Flassig, M. Swoboda, Knowledge-based 2D blade design using multi-objective aerodynamic optimization and a neural network, ASME Paper No. GT2007-28204. – start-page: 413 year: 2012 end-page: 418 ident: bib0100 article-title: Expected improvements for the asynchronous parallel global optimization of expensive functions: potentials and challenges publication-title: Learn. Intell. Optim. – volume: 10 start-page: 533 year: 2009 ident: bib0340 article-title: New global optimization methods for ship design problems publication-title: Optim. Eng. – start-page: 191 year: 2008 end-page: 215 ident: bib0040 article-title: CFD-based optimization for automotive aerodynamics publication-title: Optim. Comput. Fluid Dyn. – reference: H. Holland John, Adaptation in Natural and Artificial Systems: An Introductory Analysis With Applications to Biology, Control, and Artificial Intelligence, University of Michigan, USA. – year: 1996 ident: bib0235 article-title: Global optimization with response surfaces publication-title: Fifth SIAM conference on optimization, Victoria, Canada – volume: 136 start-page: 1103 year: 2006 end-page: 1119 ident: bib0325 article-title: Comparison of designs for computer experiments publication-title: J. Stat. Plan. Inference – volume: 7 start-page: 1 year: 2016 end-page: 7 ident: bib0405 article-title: Adjoint optimization for vehicle external aerodynamics publication-title: Int. J. Automot. Eng. – year: 2008 ident: bib0350 article-title: Optimization and Computational Fluid Dynamics – year: 2014 ident: bib0220 article-title: MATSuMoTo: The MATLAB Surrogate Model Toolbox for Computationally Expensive Black-Box Global Optimization Problems, preprint – volume: 7 start-page: 308 year: 1965 end-page: 313 ident: bib0165 article-title: The downhill simplex method publication-title: Comput. J. – volume: 21 start-page: 239 year: 1979 end-page: 245 ident: bib0245 article-title: Comparison of three methods for selecting values of input variables in the analysis of output from a computer code publication-title: Technometrics – year: 2016 ident: bib0050 article-title: Now Available – New C4 Instances – volume: 190 start-page: 263 year: 2000 end-page: 277 ident: bib0060 article-title: Comments on CFD code performance on scalable architectures publication-title: Comput. Methods Appl. Mech. Eng. – volume: 19 start-page: 497 year: 2007 end-page: 509 ident: bib0275 article-title: A stochastic radial basis function method for the global optimization of expensive functions publication-title: INFORMS J. Comput. – volume: 49 start-page: 289 year: 2011 ident: bib0310 article-title: Multifidelity surrogate modeling of experimental and computational aerodynamic data sets publication-title: AIAA J. – year: 2015 ident: bib0175 article-title: Multi-objective optimization of a simplified car body using computational fluid dynamics publication-title: ASME 2015 International Mechanical Engineering Congress and Exposition – reference: G. Buresti, G. Iungo, G. Lombardi, Methods for the drag reduction of bluff bodies and their application to heavy road-vehicles, 1st Interim Report Contract between CRF and DIA, DDIA2007-6. – year: 2012 ident: bib0030 article-title: Fluid Optimisation Workflows for Highly Effective Automotive Development Processes – volume: 51 start-page: 79 year: 2011 end-page: 104 ident: bib0285 article-title: Mixture surrogate models based on Dempster-Shafer theory for global optimization problems publication-title: J. Global Optim. – reference: S.N. Lophaven, H.B. Nielsen, J. Søndergaard, DACE – A MATLAB Kriging Toolbox, Version 2.0. – reference: K.J. Craig, N. Stander, D. Dooge, S. Varadappa, MDO of automotive vehicle for crashworthiness and NVH using response surface methods, AIAA Paper 5607. – volume: 46 start-page: 282 year: 2011 end-page: 286 ident: bib0440 article-title: Preparation and assembly of discrete adjoint CFD codes publication-title: Comput. Fluids – year: 2014 ident: bib0400 article-title: Openfoam User Guide – reference: M. Samples, A. Gaylard, S. Windsor, Aerodynamic development of the Range Rover Evoque, in: 8th MIRA Aerodynamics Conference. – reference: G. Lombardi, M. Maganzi, F. Cannizzo, E. Cardile, Use of the CFD for the aerodynamic optimization of the car shape: Problems and application, in: 4th European Automotive Simulation Conference. – reference: D. Bingham, P. Ranjan, W.J. Welch, Design of computer experiments for optimization, estimation of function contours, and related objectives, Statistics in Action: A Canadian Outlook 109. – start-page: 17 year: 2012 ident: 10.1016/j.asoc.2018.04.028_bib0130 article-title: Aero-structure coupled optimization of high aspect ratio wing using enhanced adaptive response surface method publication-title: 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Indianapolis, Indiana – volume: 21 start-page: 239 issue: 2 year: 1979 ident: 10.1016/j.asoc.2018.04.028_bib0245 article-title: Comparison of three methods for selecting values of input variables in the analysis of output from a computer code publication-title: Technometrics – ident: 10.1016/j.asoc.2018.04.028_bib0305 – ident: 10.1016/j.asoc.2018.04.028_bib0330 – volume: 129 start-page: 370 issue: 4 year: 2007 ident: 10.1016/j.asoc.2018.04.028_bib0230 article-title: Review of metamodeling techniques in support of engineering design optimization publication-title: J. Mech. Des. doi: 10.1115/1.2429697 – volume: 19 start-page: 431 year: 2002 ident: 10.1016/j.asoc.2018.04.028_bib0180 article-title: On the robustness of a simple domain reduction scheme for simulation-based optimization publication-title: Eng. Comput. doi: 10.1108/02644400210430190 – volume: 18 start-page: 3 issue: 1 year: 2001 ident: 10.1016/j.asoc.2018.04.028_bib0070 article-title: Parallel performance of overlapping mesh technique for compressible flows publication-title: Future Gener. Comput. Syst. doi: 10.1016/S0167-739X(00)00071-6 – start-page: 313 year: 2012 ident: 10.1016/j.asoc.2018.04.028_bib0375 article-title: Computational optimization of vehicle aerodynamics publication-title: Proc. of the 23rd International DAAM Symposium, vol. 23 – year: 2002 ident: 10.1016/j.asoc.2018.04.028_bib0250 – volume: 136 start-page: 1103 issue: 3 year: 2006 ident: 10.1016/j.asoc.2018.04.028_bib0325 article-title: Comparison of designs for computer experiments publication-title: J. Stat. Plan. Inference doi: 10.1016/j.jspi.2004.08.007 – year: 2010 ident: 10.1016/j.asoc.2018.04.028_bib0080 article-title: Industrial optimisation solutions based on OpenFOAM technology publication-title: V European Conference on Computational Fluid Dynamics ECCOMAS – start-page: 4 year: 2002 ident: 10.1016/j.asoc.2018.04.028_bib0155 article-title: Multidisciplinary optimization of a transport aircraft wing using particle swarm optimization publication-title: 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization – year: 2000 ident: 10.1016/j.asoc.2018.04.028_bib0420 – year: 2013 ident: 10.1016/j.asoc.2018.04.028_bib0435 – ident: 10.1016/j.asoc.2018.04.028_bib0260 – volume: 4 start-page: 1 issue: 1 year: 2014 ident: 10.1016/j.asoc.2018.04.028_bib0345 article-title: Adjoint methods for car aerodynamics publication-title: J. Math. Ind. – start-page: 281 year: 2008 ident: 10.1016/j.asoc.2018.04.028_bib0425 article-title: Toward modular multigrid design optimisation publication-title: Adv. Automat. Differ. doi: 10.1007/978-3-540-68942-3_25 – volume: 71 start-page: 833 issue: 3 year: 2016 ident: 10.1016/j.asoc.2018.04.028_bib0430 article-title: Adjoint lattice Boltzmann for topology optimization on multi-GPU architecture publication-title: Comput. Math. Appl. doi: 10.1016/j.camwa.2015.12.043 – volume: 190 start-page: 263 year: 2000 ident: 10.1016/j.asoc.2018.04.028_bib0060 article-title: Comments on CFD code performance on scalable architectures publication-title: Comput. Methods Appl. Mech. Eng. doi: 10.1016/S0045-7825(00)00201-2 – volume: 51 start-page: 79 issue: 1 year: 2011 ident: 10.1016/j.asoc.2018.04.028_bib0285 article-title: Mixture surrogate models based on Dempster-Shafer theory for global optimization problems publication-title: J. Global Optim. doi: 10.1007/s10898-010-9620-y – volume: 13 start-page: 455 issue: 4 year: 1998 ident: 10.1016/j.asoc.2018.04.028_bib0210 article-title: Efficient global optimization of expensive black-box functions publication-title: J. Global Optim. doi: 10.1023/A:1008306431147 – ident: 10.1016/j.asoc.2018.04.028_bib0075 – volume: 25 start-page: 99 issue: 2 year: 2003 ident: 10.1016/j.asoc.2018.04.028_bib0300 article-title: The use of metamodeling techniques for optimization under uncertainty publication-title: Struct. Multidiscip. Optim. doi: 10.1007/s00158-002-0277-0 – year: 1995 ident: 10.1016/j.asoc.2018.04.028_bib0145 article-title: Particle swarm optimization publication-title: Proceedings of the IEEE International Conference on Neural Networks, vol. 4 doi: 10.1109/ICNN.1995.488968 – year: 2014 ident: 10.1016/j.asoc.2018.04.028_bib0150 – start-page: 131 year: 2010 ident: 10.1016/j.asoc.2018.04.028_bib0105 article-title: Kriging is well-suited to parallelize optimization – volume: 46 start-page: 282 issue: 1 year: 2011 ident: 10.1016/j.asoc.2018.04.028_bib0440 article-title: Preparation and assembly of discrete adjoint CFD codes publication-title: Comput. Fluids doi: 10.1016/j.compfluid.2011.01.042 – year: 2015 ident: 10.1016/j.asoc.2018.04.028_bib0175 article-title: Multi-objective optimization of a simplified car body using computational fluid dynamics – start-page: 413 year: 2012 ident: 10.1016/j.asoc.2018.04.028_bib0100 article-title: Expected improvements for the asynchronous parallel global optimization of expensive functions: potentials and challenges – volume: 54 start-page: 3 issue: 1 year: 2016 ident: 10.1016/j.asoc.2018.04.028_bib0090 article-title: Parallel surrogate-assisted global optimization with expensive functions – a survey publication-title: Struct. Multidiscip. Optim. doi: 10.1007/s00158-016-1432-3 – volume: 41 start-page: 1 issue: 1 year: 2005 ident: 10.1016/j.asoc.2018.04.028_bib0240 article-title: Surrogate-based analysis and optimization publication-title: Prog. Aerosp. Sci. doi: 10.1016/j.paerosci.2005.02.001 – volume: 10 start-page: 533 issue: 4 year: 2009 ident: 10.1016/j.asoc.2018.04.028_bib0340 article-title: New global optimization methods for ship design problems publication-title: Optim. Eng. doi: 10.1007/s11081-009-9085-3 – volume: 58 start-page: 155 year: 2017 ident: 10.1016/j.asoc.2018.04.028_bib0085 article-title: A kriging-assisted multiobjective evolutionary algorithm publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2017.04.017 – ident: 10.1016/j.asoc.2018.04.028_bib0125 – volume: 62 start-page: 451 issue: 4 year: 2015 ident: 10.1016/j.asoc.2018.04.028_bib0410 article-title: Numerical analysis of aerodynamic characteristics of a of high-speed car with movable bodywork elements publication-title: Arch. Mech. Eng. doi: 10.1515/meceng-2015-0026 – volume: 5 start-page: 485 year: 1986 ident: 10.1016/j.asoc.2018.04.028_bib0190 article-title: NLPQL: a Fortran subroutine for solving constrained nonlinear programming problems publication-title: Ann. Oper. Res. doi: 10.1007/BF02739235 – start-page: 1 year: 1991 ident: 10.1016/j.asoc.2018.04.028_bib0280 article-title: Multivariate adaptive regression splines publication-title: Ann. Stat. – ident: 10.1016/j.asoc.2018.04.028_bib0315 – start-page: 62 year: 2008 ident: 10.1016/j.asoc.2018.04.028_bib0035 article-title: Aerodynamic development of the Skoda Roomster publication-title: 7th MIRA International Vehicle Aerodynamics Conference – ident: 10.1016/j.asoc.2018.04.028_bib0360 – start-page: 787 year: 2011 ident: 10.1016/j.asoc.2018.04.028_bib0115 article-title: Exploration of parallel optimization techniques for accelerator design publication-title: Proceedings of 2011 Particle Accelerator Conference – volume: 32 start-page: 235 issue: 4 year: 1998 ident: 10.1016/j.asoc.2018.04.028_bib0335 article-title: Variable complexity design of composite fuselage frames by response surface techniques publication-title: Thin-walled Struct. doi: 10.1016/S0263-8231(98)00016-0 – volume: 10 start-page: 373 issue: 4 year: 2009 ident: 10.1016/j.asoc.2018.04.028_bib0095 article-title: A grid-enabled asynchronous metamodel-assisted evolutionary algorithm for aerodynamic optimization publication-title: Genet. Program. Evol. Mach. doi: 10.1007/s10710-009-9090-5 – ident: 10.1016/j.asoc.2018.04.028_bib0200 doi: 10.1115/GT2007-28204 – ident: 10.1016/j.asoc.2018.04.028_bib0395 – start-page: 110 year: 2010 ident: 10.1016/j.asoc.2018.04.028_bib0045 article-title: Application of multi-objective optimization to the aerodynamic development of passenger cars at FIAT publication-title: 8th MIRA International Vehicle Aerodynamics Conference – year: 2014 ident: 10.1016/j.asoc.2018.04.028_bib0400 – volume: 19 start-page: 497 issue: 4 year: 2007 ident: 10.1016/j.asoc.2018.04.028_bib0275 article-title: A stochastic radial basis function method for the global optimization of expensive functions publication-title: INFORMS J. Comput. doi: 10.1287/ijoc.1060.0182 – ident: 10.1016/j.asoc.2018.04.028_bib0110 – ident: 10.1016/j.asoc.2018.04.028_bib0355 – year: 2001 ident: 10.1016/j.asoc.2018.04.028_bib0380 – volume: 94 start-page: 84 year: 2014 ident: 10.1016/j.asoc.2018.04.028_bib0295 article-title: Dealing with numerical noise in CFD-based design optimization publication-title: Comput. Fluids doi: 10.1016/j.compfluid.2014.02.004 – year: 2016 ident: 10.1016/j.asoc.2018.04.028_bib0050 – ident: 10.1016/j.asoc.2018.04.028_bib0290 – ident: 10.1016/j.asoc.2018.04.028_bib0015 – year: 2012 ident: 10.1016/j.asoc.2018.04.028_bib0030 – year: 2004 ident: 10.1016/j.asoc.2018.04.028_bib0320 article-title: Kriging interpolation in simulation: a survey publication-title: Simulation Conference, 2004, Proceedings of the 2004 Winter, vol. 1, IEEE doi: 10.1109/WSC.2004.1371308 – volume: 7 start-page: 1 issue: 1 year: 2016 ident: 10.1016/j.asoc.2018.04.028_bib0405 article-title: Adjoint optimization for vehicle external aerodynamics publication-title: Int. J. Automot. Eng. doi: 10.20485/jsaeijae.7.1_1 – volume: 51 start-page: 53 year: 2011 ident: 10.1016/j.asoc.2018.04.028_bib0020 – start-page: 1 year: 2010 ident: 10.1016/j.asoc.2018.04.028_bib0160 article-title: Designing airfoils using a reference point based evolutionary many-objective particle swarm optimization algorithm – ident: 10.1016/j.asoc.2018.04.028_bib0120 – ident: 10.1016/j.asoc.2018.04.028_bib0365 – ident: 10.1016/j.asoc.2018.04.028_bib0390 – year: 2014 ident: 10.1016/j.asoc.2018.04.028_bib0220 – year: 2010 ident: 10.1016/j.asoc.2018.04.028_bib0205 – year: 2011 ident: 10.1016/j.asoc.2018.04.028_bib0385 article-title: CFD optimization via sensitivity-based shape morphing publication-title: Proceedings of the 2011 ASEE North Central & Illinois-Indiana Section Conference – ident: 10.1016/j.asoc.2018.04.028_bib0025 – volume: 3 start-page: 398 issue: 2010-01-0513 year: 2010 ident: 10.1016/j.asoc.2018.04.028_bib0135 article-title: Automotive aerodynamic design exploration employing new optimization methodology based on CFD publication-title: SAE Int. J. Passeng. Cars-Mech. Syst. doi: 10.4271/2010-01-0513 – start-page: 4433 year: 2017 ident: 10.1016/j.asoc.2018.04.028_bib0195 article-title: An adaptive optimization strategy based on mixture of experts for wing aerodynamic design optimization publication-title: 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference – year: 1996 ident: 10.1016/j.asoc.2018.04.028_bib0235 article-title: Global optimization with response surfaces publication-title: Fifth SIAM conference on optimization, Victoria, Canada – year: 2013 ident: 10.1016/j.asoc.2018.04.028_bib0415 – ident: 10.1016/j.asoc.2018.04.028_bib0270 – volume: 7 start-page: 139 issue: 2 year: 2010 ident: 10.1016/j.asoc.2018.04.028_bib0170 article-title: Towards a practical parallelisation of the simplex method publication-title: Comput. Manag. Sci. doi: 10.1007/s10287-008-0080-5 – start-page: 26 year: 2009 ident: 10.1016/j.asoc.2018.04.028_bib0215 article-title: Surrogate-based aerodynamic design optimization: use of surrogates in aerodynamic design optimization – start-page: 483 year: 1967 ident: 10.1016/j.asoc.2018.04.028_bib0065 article-title: Validity of the single processor approach to achieving large scale computing capabilities publication-title: Proceedings of the April 18–20, 1967, Spring Joint Computer Conference, ACM – start-page: 23 year: 2012 ident: 10.1016/j.asoc.2018.04.028_bib0255 article-title: Comparison of infill sampling criteria in kriging-based aerodynamic optimization publication-title: 28th Congress of the International Council of the Aeronautical Sciences – volume: 49 start-page: 289 issue: 2 year: 2011 ident: 10.1016/j.asoc.2018.04.028_bib0310 article-title: Multifidelity surrogate modeling of experimental and computational aerodynamic data sets publication-title: AIAA J. doi: 10.2514/1.J050384 – volume: 4 start-page: 2638 issue: 2011-37-0016 year: 2011 ident: 10.1016/j.asoc.2018.04.028_bib0005 article-title: The aesthetics of low drag vehicles publication-title: SAE Int. J. Engines doi: 10.4271/2011-37-0016 – ident: 10.1016/j.asoc.2018.04.028_bib0010 – year: 2008 ident: 10.1016/j.asoc.2018.04.028_bib0350 – volume: 44 start-page: 351 issue: 2 year: 2006 ident: 10.1016/j.asoc.2018.04.028_bib0140 article-title: Parallel evolutionary algorithms in shape optimization of heat radiators publication-title: J. Theor. Appl. Mech. – volume: 230 start-page: 1808 issue: 13 year: 2016 ident: 10.1016/j.asoc.2018.04.028_bib0370 article-title: Automotive shape optimization using the radial basis function model based on a parametric surface grid publication-title: Proc. Inst. Mech. Eng. Part D: J. Autom. Eng. doi: 10.1177/0954407015624042 – volume: 33 start-page: 707 year: 2001 ident: 10.1016/j.asoc.2018.04.028_bib0185 article-title: Adaptive response surface method. a global optimization publication-title: Eng. Optim. doi: 10.1080/03052150108940940 – ident: 10.1016/j.asoc.2018.04.028_bib0225 – volume: 7 start-page: 308 year: 1965 ident: 10.1016/j.asoc.2018.04.028_bib0165 article-title: The downhill simplex method publication-title: Comput. J. doi: 10.1093/comjnl/7.4.308 – year: 2011 ident: 10.1016/j.asoc.2018.04.028_bib0265 – year: 2016 ident: 10.1016/j.asoc.2018.04.028_bib0055 – start-page: 191 year: 2008 ident: 10.1016/j.asoc.2018.04.028_bib0040 article-title: CFD-based optimization for automotive aerodynamics publication-title: Optim. Comput. Fluid Dyn. |
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•This paper introduces Parallel Asynchronous Surrogate Model (PASM) method for Engineering Design Optimisation.•The PASM method is enhanced... |
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| SubjectTerms | Car aerodynamics Cloud computing Corners of the optimisation domain High performance computing Mixed surrogate models Parallel optimisation |
| Title | Shape optimisation method based on the surrogate models in the parallel asynchronous environment |
| URI | https://dx.doi.org/10.1016/j.asoc.2018.04.028 |
| Volume | 71 |
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