Conceptual Missile Design Using Genetic Algorithms

For these preliminary design studies, a pareto genetic algorithm was used to manipulate a solid rocket design code, an aerodynamic design code, and a three-loop autopilot to produce interceptor designs capable of defeating two different target scenarios. The first scenario is a ground-launched interceptor engaging a high-speed/high-altitude target like a re-entry vehicle. The second scenario is an air-to-air engagement against a highly maneuverable target. Twenty-nine design variables were required to define the optimization problem, and two primary goals were established to access the performance of the interceptor designs. Design goals included minimizing both miss distance and intercept time. The genetic algorithm was able to quickly develop several basic types of designs that performed very well for the individual target scenarios.