| An artificial intelligence tool called a genetic algorithm (GA) has been used in this study to design missiles. The missile components that were controlled by the genetic algorithm include the solid rocket motor, the external aerodynamic shape, and the autopilot. It is demonstrated in this research that genetic algorithms are capable of designing high performance rocket motors and airframes individually or together based on desired performance levels. Even without an autopilot, the genetic algorithm learned how to design long range ballistic rockets while minimizing both take-off weight and maximum g-loading. Typical ballistic ranges easily exceeded 200 miles with take-off weights less than one-half that of a currently fielded missile with approximately a 200 mile range. When the autopilot was included in the design process, the genetic algorithm designed several competing systems capable of defeating even high-altitude targets with velocities greater than 5,000 feet/second. |
