Comparative Performance Analysis of Genetic Algorithm and Differential Evolution for Optimization of Missile Gliding Trajectory

Evolutionary algorithms (EA) are well known algorithms and commonly used for trajectory optimization of missile. The present research work aims at comparative performance analysis of two different EAs such as genetic algorithm (GA) and differential evolution (DE) for optimization of missile gliding trajectory. The range of missile was maximized by optimizing gliding trajectory through descretization of angle of attack (AOA) as control parameter and problem solving. Evaluation of performance characteristics of GA and DE was carried out on the basis of computation time, accuracy of solution and convergence efficiency. Experimental results demonstrate the better performance of DE when compared to GA in terms of computation time, solution accuracy and convergence efficiency.