The purpose of this paper is to examine the multidisciplinary design optimization (MDO) of a reentry vehicle. In this paper, optimization of a RV based on, minimization of heat flux integral and minimization of axial force coefficient integral and maximization of static margin integral along reentry trajectory is carried out. The classic optimization methods are not applicable here due to the complexity of the equations, therefore in this research, the genetic algorithm technique is utilized for optimization of the RV. In addition, the results of the genetic algorithm, are validated with those of two other methods, Pareto genetic algorithm and response surface method. In the present paper, in order to decrease the computational time, parallel processing strategy is employed
Moosavi, A., Mirzaei, M., Dr. Roshanian, J. (2631). The Multidisciplinary Design Optimization of a Reentry Vehicle Using Parallel Genetic Algorithms. Journal of Aerospace Science and Technology, 7(1), 1-8.
MLA
Ali Moosavi; Masoud Mirzaei; Jafar Dr. Roshanian. "The Multidisciplinary Design Optimization of a Reentry Vehicle Using Parallel Genetic Algorithms". Journal of Aerospace Science and Technology, 7, 1, 2631, 1-8.
HARVARD
Moosavi, A., Mirzaei, M., Dr. Roshanian, J. (2631). 'The Multidisciplinary Design Optimization of a Reentry Vehicle Using Parallel Genetic Algorithms', Journal of Aerospace Science and Technology, 7(1), pp. 1-8.
VANCOUVER
Moosavi, A., Mirzaei, M., Dr. Roshanian, J. The Multidisciplinary Design Optimization of a Reentry Vehicle Using Parallel Genetic Algorithms. Journal of Aerospace Science and Technology, 2631; 7(1): 1-8.
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