TY - JOUR ID - 71465 TI - Aerodynamic Design Optimization Using Genetic Algorithm (RESEARCH NOTE) JO - International Journal of Engineering JA - IJE LA - en SN - 1025-2495 AU - Pishevar, A. R. AU - Ziaei-Rad, S. AD - Mechanical Engineering, Isfahan University of Technology Y1 - 2003 PY - 2003 VL - 16 IS - 3 SP - 307 EP - 318 KW - Aerodynamic Design Optimization KW - Genetic Algorithm KW - Euler Solver KW - Godunov Scheme DO - N2 - An efficient formulation for the robust shape optimization of aerodynamic objects is introduced in this paper. The formulation has three essential features. First, an Euler solver based on a second-order Godunov scheme is used for the flow calculations. Second, a genetic algorithm with binary number encoding is implemented for the optimization procedure. The third ingredient of the procedure is the use of previous flow that is closest in terms of geometric parameters to the new shape as an initial condition for the new function evaluation. This makes the solution towards the final value progressively faster and reduces the computer time for the convergence of the algorithm. The algorithm is used to optimize two different problems, a simple bump problem, and a two-dimensional transonic airfoil problem using an Euler solver equation. The results indicate that the GA/flow algorithm is robust and can optimize a wide range of problems with a minimum implementation effort. UR - https://www.ije.ir/article_71465.html L1 - https://www.ije.ir/article_71465_b2eb53652f7e2649b33f021531d91f00.pdf ER -