John E. Burkhalter

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This paper describes an effort to optimize the design of an entire space launch vehicle to low-Earth (circular) orbit, consisting of multiple stages using a genetic algorithm (GA) with the goal of minimizing vehicle weight and ultimately vehicle cost. The entire launch vehicle system is analyzed using various multistage configurations to reach low-Earth(More)
T study demonstrates the advantages of using a real coded genetic algorithm (GA) for aerospace engineering design applications. The GA developed for this study runs steady state, meaning that after every function evaluation the worst performer is determined and that worst performer is then thrown out and replaced by a new member that has been evaluated. The(More)
This paper describes an effort in which the design of an entire missile system consisting of a ramjet powered sustainer and an associated solid rocket booster is considered. The design process is controlled by a genetic algorithm optimizer which directs and controls other system performance prediction codes. The optimizer used in the present process is the(More)
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