Optimization and Sizing for Propulsion System of Liquid Rocket Using Genetic Algorithm

Flight vehicle conceptual design appears to be a promising area for application of the Genetic Algorithm (GA) as an approach to help to automate part of the design process. This computational research effort strives to develop a propulsion system design strategy for liquid rocket to optimize take-off mass, satisfying the mission range under the constraint of axial overload. The method by which this process is accomplished by using GA as optimizer is outlined in this paper. Convergence of GA is improved by introducing initial population based on Design of Experiments Technique.     

基于遗传算法的高速磨削用量的优化

在满足所要求的加工精度的前提下，高效率一直是磨削生产追求的目标。用遗传算法对高速磨削用量进行优化，可解决这个非线性问题，并且速度快，不易陷入局部最优解，可满足高生产率的要求。优化结果表明，生产率可提高８．３％，体现了这种算法的可行性