A surrogate assisted evolutionary optimization method with application to the transonic airfoil design

Engineering Optimization

Volumn 42, Issue 6, 2010, Pages 497-515

  Shahrokhi, Ava ^a   Jahangirian, Alireza ^a  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Aerodynamic optimization; Genetic algorithm; Neural networks

Indexed keywords

AERODYNAMIC OPTIMIZATION; ALTERNATIVE METHODS; APPROXIMATION TECHNIQUES; COMPUTATIONAL TIME; CONVERGENCE RATES; DESIGN SPACES; EFFICIENT ESTIMATION; EVOLUTIONARY OPTIMIZATION METHOD; EVOLUTIONARY OPTIMIZATIONS; FLOW SOLVER; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; OBJECTIVE FUNCTIONS; OPTIMIZATION ALGORITHMS; SIMPLE GA; SURROGATE METHODS; TRAINING DATA; TRANSONIC AIRFOILS;

AERODYNAMICS; AIRFOILS; APPROXIMATION ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; DESIGN; ESTIMATION; NEURAL NETWORKS; NORMAL DISTRIBUTION; OPTIMIZATION;

GENETIC ALGORITHMS;

EID: 77952415200     PISSN: 0305215X     EISSN: 10290273     Source Type: Journal    
DOI: 10.1080/03052150903305468     Document Type: Article

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