A NEURAL NETWORK BASED ACCELERATION TECHNIQUE OF GENETIC ALGORITHM CONVERGENCE IN AERODYNAMIC DESIGN OPTIMIZATION

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FOULADI N.A.; JAHANGIRIAN A.R.

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Journal: MECHANICAL ENGINEERING SHARIF (SHARIF: MECHANICAL ENGINEERING) Year:2008 | Volume:23 | Issue:41-42 Page(s): 101-107

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Title

A NEURAL NETWORK BASED ACCELERATION TECHNIQUE OF GENETIC ALGORITHM CONVERGENCE IN AERODYNAMIC DESIGN OPTIMIZATION

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FOULADI N.A. | JAHANGIRIAN A.R. | Issue Writer Certificate

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Abstract

Wing section optimization is accomplished using a combined strategy consisting of a genetic algorithm (GA) and an artificial neural network (ANN). A real coded genetic algorithm is utilized for an optimum search in design space. The numerical solution of in viscid flow governing equations is used for evaluation of the design candidates. In order to reduce the number of these time consuming evaluations required by GA, every M generation, all chromosomes fitness are trained to a neural network. Then, a control based genetic local search is handled by ANN as a fitness estimator to find new promising regions in design space. It is demonstrated that this approach could save considerable computational time in application fields, such as aerodynamic design. Results are presented for a constrained optimization of an airfoil at transonic flow conditions. The PARSEC method of airfoil generator and unstructured grid movement technique are used in this work. Eventually, optimum airfoil geometry is achieved by about 50% less computational effort compared with the conventional GA method.

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APA: Copy

FOULADI, N.A., & JAHANGIRIAN, A.R.. (2008). A NEURAL NETWORK BASED ACCELERATION TECHNIQUE OF GENETIC ALGORITHM CONVERGENCE IN AERODYNAMIC DESIGN OPTIMIZATION. MECHANICAL ENGINEERING SHARIF (SHARIF: MECHANICAL ENGINEERING), 23(41-42), 101-107. SID. https://sid.ir/paper/128289/en

Vancouver: Copy

FOULADI N.A., JAHANGIRIAN A.R.. A NEURAL NETWORK BASED ACCELERATION TECHNIQUE OF GENETIC ALGORITHM CONVERGENCE IN AERODYNAMIC DESIGN OPTIMIZATION. MECHANICAL ENGINEERING SHARIF (SHARIF: MECHANICAL ENGINEERING)[Internet]. 2008;23(41-42):101-107. Available from: https://sid.ir/paper/128289/en

IEEE: Copy

N.A. FOULADI, and A.R. JAHANGIRIAN, “A NEURAL NETWORK BASED ACCELERATION TECHNIQUE OF GENETIC ALGORITHM CONVERGENCE IN AERODYNAMIC DESIGN OPTIMIZATION,” MECHANICAL ENGINEERING SHARIF (SHARIF: MECHANICAL ENGINEERING), vol. 23, no. 41-42, pp. 101–107, 2008, [Online]. Available: https://sid.ir/paper/128289/en

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