Evolutionary Algorithm Based Multi-Objective Aerodynamics Optimization Method for Low Reynolds Number Airfoil

Abstract:

This paper presents the development of multi-objective population-based optimization method, called Non-dominated Sorting Genetic Algorithm II (NSGA-II), to optimize the aerodynamic characteristic of a low Reynolds number airfoil. The optimization is performed by changing the shape of the airfoil to obtain geometry with the best aerodynamic characteristics. The results of the study show that the developed optimization tool, coupled with modified PARSEC parameterization, has yielded optimum airfoils with better aerodynamic characteristics compared to original airfoil. Additionally, it is found that the developed method has better performance compared to similar methods found in literature.

• Periodical: Applied Mechanics and Materials (Volume 660)
• Pages: 487-491
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.660.487
• Online since: October 2014
• Authors: Lavi R. Zuhal, Yohanes Bimo Dwianto*, Pramudita Satria Palar
• Keywords: Modified PARSEC, Multi-Objective Aerodynamic Optimization, NSGA-II

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DOI: 10.1007/978-3-642-84010-4_1

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