DocumentCode
3217184
Title
Weapon-target assignment problem based on hybrid ACA
Author
Lu Hou-Qing ; Zhang Yong-Li ; Yu Qin ; Li Hong-Wei ; Zhang Xiao-Juan
Author_Institution
Eng. Inst. of Eng. Corps, PLA Univ. of Sci. & Technol., Nanjing, China
fYear
2006
fDate
7-11 Aug. 2006
Firstpage
593
Lastpage
597
Abstract
Weapon-target assignment problem (WTA) was described and its mathematic model was established. Ant colony algorithm (ACA) was introduced briefly; a novel and equivalence coding method to solve WTA based on ACA was proposed. Aiming at ACA´s defects, the strategy to select the next node was improved; crossover and mutation in GAs were introduced in, so the search space was opened up. The steps to realize the proposed algorithm were described in details. The simulation in MATLAB program verified the validity, efficiency and simplicity to operate.
Keywords
genetic algorithms; military systems; weapons; ant colony algorithm; equivalence coding; genetic algorithm; weapon-target assignment problem; Electronic mail; Genetic mutations; Graph theory; IEEE catalog; MATLAB; Mathematical model; Mathematics; Programmable logic arrays; Weapons; Crossover; Improved ACA; Mutation; WTA;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2006. CCC 2006. Chinese
Conference_Location
Harbin
Print_ISBN
7-81077-802-1
Type
conf
DOI
10.1109/CHICC.2006.280661
Filename
4060588
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