DocumentCode
2107183
Title
The chaotically improved genetic algorithm for WTA
Author
Yao Yueting ; Zhao Jianjun ; Wang Yi ; Wang Xiaofeng
Author_Institution
Dept. of Aerial Vehicle Eng., NAEA, Yantai, China
fYear
2010
fDate
29-31 July 2010
Firstpage
5212
Lastpage
5215
Abstract
The classical genetic algorithm is improved. The initial solutions are got by Hamming-Range algorithm to WTA problem. The principal of best to best is used in the individual match for the crossover operation. The selection of the crossover points is made out by chaotic series. Chaotic series is also applied in the mutation. We get the solution of WTA problem with the improved algorithm, and check that the improved genetic algorithm is more efficient than the general genetic algorithm.
Keywords
chaos; genetic algorithms; military equipment; weapons; Hamming-Range algorithm; WTA problem; chaotic series; genetic algorithm; mutation; weapon target assignment; Algorithm design and analysis; Computational modeling; Convergence; Electronic mail; Evolutionary computation; Helium; Vehicles; Chaotic Series; Genetic Algorithm; Hamming-Range Algorithm; WTA;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2010 29th Chinese
Conference_Location
Beijing
Print_ISBN
978-1-4244-6263-6
Type
conf
Filename
5573409
Link To Document