TY - JOUR ID - 73165 TI - Pareto Optimization of Two-element Wing Models with Morphing Flap Using Computational Fluid Dynamics, Grouped Method of Data handling Artificial Neural Networks and Genetic Algorithms JO - International Journal of Engineering JA - IJE LA - en SN - 1025-2495 AU - Safikhani, H AU - Jamalinasab, M AD - Department of Mechanical Engineering, Faculty of Engineering, Arak University, Arak, Iran AD - Department of Mechanical Engineering, Malek-ashtar University of Technology, Isfahan, Iran Y1 - 2018 PY - 2018 VL - 31 IS - 4 SP - 666 EP - 672 KW - Two KW - element Wings KW - Morphing Flap KW - multi KW - objective optimization KW - Grouped Method of data Handling KW - NSGA II KW - Quadrature Phase Shift Keying DO - N2 - A multi-objective optimization (MOO) of two-element wing models with morphing flap by using computational fluid dynamics (CFD) techniques, artificial neural networks (ANN), and non-dominated sorting genetic algorithms (NSGA II), is performed in this paper. At first, the domain is solved numerically in various two-element wing models with morphing flap using CFD techniques and lift (L) and drag (D) coefficients in wings are calculated. Afterward, for modeling L and D using grouped method of data handling (GMDH) type artificial neural networks, numerical data of the preceding step will be applied. Eventually, for Pareto based multi-objective optimization of two-element wing models with morphing flap using NSGA II algorithm, the modeling, which is accomplished by GMDH will be applied. It is shown that the achieved Pareto solution includes important design information on such wings. UR - https://www.ije.ir/article_73165.html L1 - https://www.ije.ir/article_73165_deb2be7ff4152fe2f5b6de17fb9519ee.pdf ER -