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Multiobjective Multidisciplinary Design Optimization of Missile
Received date: 2012-12-14
Revised date: 2013-02-24
Online published: 2013-04-08
In order to design missiles with multidisciplinary design optimization (MDO), multidisciplinary analysis models are established which involve such diverse fields as aerodynamics, propulsion, mass, control and trajectory. Collaborative optimization is adopted to formulate the MDO of a missile. Due to the computational complexity of the MDO problem, a new method dealing with constrained multiobjective optimization is proposed, which is multiobjective Kriging based genetic algorithm (MOKGA). Physical programming is used in the method to convert the multiobjective to a single objective, and then EI (Expected Improvement) is made for the single objective taking into consideration the various constraints. Genetic algorithm is used to optimize the EI. Comparison between the multiobjective genetic algorithm NSGA-Ⅱ and MOKGA is made. The results show that the optimized results of both methods are improved as compared with the initial design, but that MOKGA reduces by 40% the number of exact analyses as compared with NSGA-Ⅱ, which reduces remarkably the computational complexity of multidisciplinary design optimization.
ZHENG Anbo , MA Handong , LUO Xiaoyun . Multiobjective Multidisciplinary Design Optimization of Missile[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013 , 34(11) : 2557 -2564 . DOI: 10.7527/S1000-6893.2013.0128
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