DocumentCode
519356
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
Volume
1
fYear
2010
fDate
5-6 June 2010
Firstpage
294
Lastpage
297
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-4026-9
Type
conf
DOI
10.1109/CCIE.2010.81
Filename
5492087
Link To Document