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
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;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6
