2017
DOI: 10.1061/(asce)as.1943-5525.0000686
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Particle Swarm Optimization of Aerodynamic Shapes with Nonuniform Shape Parameter–Based Radial Basis Function

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Cited by 18 publications
(8 citation statements)
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“…Taking the optimization process of the shape parameter for the RBF surrogate model based on LOOCV as an example, a nonuniform shape parameter, randomly based on the selecting strategy for different sample points was proposed as follows [42],…”
Section: ) Parameter Optimization For Surrogate Modelsmentioning
confidence: 99%
“…Taking the optimization process of the shape parameter for the RBF surrogate model based on LOOCV as an example, a nonuniform shape parameter, randomly based on the selecting strategy for different sample points was proposed as follows [42],…”
Section: ) Parameter Optimization For Surrogate Modelsmentioning
confidence: 99%
“…AUSMPWþ is the improved version of the AUSMPW scheme and is developed to increase the accuracy and computational efficiency without compromising robustness, which is also popular in aerodynamic heating calculation (Xia et al, 2016). AUSMPWþ is tested from Mach 22 to 32 with Definition 1 and 3 of sound speed.…”
Section: Performance Of Ausmpwþmentioning
confidence: 99%
“…Optimum değeri, problemin ve kullanılan RTF'nin türünden, sınır koşullarından, nokta dağılımından ve nokta sayısından oldukça etkilenmektedir. Dolayısıyla, optimum değerinin belirlenmesi günümüzde üzerinde araştırma yapılan konulardan biridir [15][16][17].…”
Section: Introductionunclassified