Improved Real-Code Genetic Algorithm and its Application in the Optimization of the Projectile’s Structure Design

• 1、Department of Power and Engineering, NUST

Abstract：As the multiform development of the projectile structures, in order to overcome this complex optimization models, it’s necessary to use an intelligent optimization method. The improved real-coded genetic algorithm is put forward. To solve such problems as premature convergence and slow evolving speed of simple genetic algorithm evolution, use improved genetic operator, including the niche concept and the best-keeping after operation of the genetic operators in each step, what’s more, Hamming distance was used to replace the worse individual of current generation by the best one of the father generation. Take a projectile’s structure design for example. Compare the optimization with original, the numerical simulations show that the projectile’s structure has better shape to reduce the drag, as well as the improved genetic algorithm is more effective in realizing the global optimization and promoting evolution efficiency, and has stronger adaptability in solving this complex optimization problems.

Keywords： improved genetic algorithm simple genetic algorithm projectile structure optimization genetic operator