2004
DOI: 10.1016/j.compfluid.2003.06.007
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Hybrid method for aerodynamic shape optimization in automotive industry

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Cited by 115 publications
(58 citation statements)
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“…In recent years the number of studies which have applied Computational Fluid Dynamics (CFD) and optimization methods to improve the aerodynamic design of road vehicles has increased significantly and is recognized as providing a powerful and efficient means of generating improved aerodynamic performance, particularly when detailed experimentation in wind tunnels is not achievable, see e.g. [1,2,3,4,5,6]. The focus of recent studies has been on the drag reduction of Heavy Goods Vehicles, see e.g.…”
Section: Introductionmentioning
confidence: 99%
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“…In recent years the number of studies which have applied Computational Fluid Dynamics (CFD) and optimization methods to improve the aerodynamic design of road vehicles has increased significantly and is recognized as providing a powerful and efficient means of generating improved aerodynamic performance, particularly when detailed experimentation in wind tunnels is not achievable, see e.g. [1,2,3,4,5,6]. The focus of recent studies has been on the drag reduction of Heavy Goods Vehicles, see e.g.…”
Section: Introductionmentioning
confidence: 99%
“…[1,4,5,6,7]. Currently there have been relatively few studies on the aerodynamic improvement of light trucks and cars [8,9], while a small number still have reported reduced aerodynamic drag using automated design optimization techniques [2,8,10].…”
Section: Introductionmentioning
confidence: 99%
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“…At present, there are mainly two approaches to improve the fuel economy, one is to improve the combustion process in the engine [1], and the other is to reduce the total drag force on the vehicle in motion [2,3]. In considering the latter, although the total drag force mainly consists of rolling resistance and aerodynamic drag, with a medium-size car, aerodynamic drag accounts for nearly 80 percent of the total drag force at 100 km/h.…”
Section: Introductionmentioning
confidence: 99%
“…The gain from using hierarchical search is superimposed to that expected from the use of a "better" EA, "better" evolution operators and so forth. According to the literature survey, existing hierarchical schemes can be classified to algorithms relying on different evaluation methods to computer the fitness or cost function of candidate solutions (with different fidelity and CPU cost) (Eby et al 1998, Herrera et al 1999, Sefrioui and Périaux 2000, Karakasis et al 2007, Kampolis et al 2007, Kampolis and Giannakoglou 2008, different search techniques (Muyl et al 2004, Poloni et al 2000, Knowles and Corne 2000 and different chromosome sizes (Lin et al 1994) or numbers of design variables (Désidéri andJanka 2003, Duvigneau et al 2006). The present paper is concerned with the first class of hierarchical methods, i.e.…”
Section: Introductionmentioning
confidence: 99%