Simulation-based 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 as an approach to help automate part of the design process. This computational research effort strives to develop a propulsion system design strategy for liquid rocket to achieve minimum take-off mass, satisfying the mission range under the constraint of axial overload. The methods by which this process is accomplished by using genetic algorithm (GA) as optimizer are outlined in this paper. Convergence of GA is improved by introducing initial population based on design of experiments technique.