【摘要】 本文采用多目标遗传算法来确定再入飞行器气动布局优化问题的Pareto最优解集 ,并和传统的多目标优化方法 (加权和方法、约束法 )进行比较。通过计算表明 ,多目标遗传算法能够在一次运行中搜索到优化问题的近似Pareto最优解集 ,这为飞行器设计者进行目标折衷决策提供了充分的依据。更多还原

【Abstract】 The Pareto genetic algorithm is modified to solve the engineering problems of the aerodynamic shape optimization of reentry body. The comparison of the traditional multi objective optimization methods with the Pareto genetic algorithm is also shown. The two design examples for crew transfer vehicle (CTV) and the maneuvering nose bent reentry body are provided. It is shown that the Pareto genetic algorithm may approximately provide the Pareto optimal set of the multi objective optimization problem, which is useful for designer to make compromise decision.更多还原