Title :
Optimization Design of Following Penetrating Bomb Based on Improved Genetic Algorithms
Author :
Yanrong, Cheng ; Zhengyu, Xue ; Tingjin, Lu
Author_Institution :
Dept. of Syst. Eng., Air Force Eng. Univ., Xi´´an, China
Abstract :
Improved genetic algorithm is adopted to model the following penetrating bomb. Comparing the optimization algorithm with the original one, the numerical simulation shows that the projectile structure has better shape to reduce the resistance with shorter flying time. The improved genetic algorithm is more effective in realizing the global optimization and promoting evolution efficiency, and has stronger adaptability in solving complex optimization problems.
Keywords :
design; explosives; genetic algorithms; numerical analysis; weapons; complex optimization problem; evolution efficiency; following penetrating bomb; genetic algorithms; numerical simulation; optimization design; projectile structure; Algorithm design and analysis; Design optimization; Genetic algorithms; Industrial engineering; Weapons; following penetrating bomb; genetic algorithm; genetic operation; optimization; projectile structure;
Conference_Titel :
Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-4026-9
DOI :
10.1109/CCIE.2010.81
