genetic algorithm application in guided rockets

a gyroscope is a device for measuring or maintaining orientation , based on the principles of conservation of angular momentum . the device is a spinning wheel or disk whose axle is free to take any orientation. this orientation changes much less in response to a given external torque than it would without the large angular momentum associated with the gyroscope's high rate of spin. since external torque is minimized by mounting the device in gimbals , its orientation remains nearly fixed, regardless of any motion of the platform on which it is mounted. a new method of optimization, particle swarm optimization (pso), is able to accomplish the same goal as ga optimization in a new and faster way. the purpose of this paper is to investigate the foundations and performance of the two algorithms when applied to  solve of gyroscope equation.