Title :
The Application of Improved Genetic Algorithm on Weapon-Target Assignment
Author :
Kehu, Xu ; Dashan, Huang ; Tianzhao, Wang
Author_Institution :
Dept. of Control Eng., Acad. of Armored Force Eng., Beijing, China
Abstract :
The weapon-target assignment(WTA) is mainly applied in combat decision-making and the integration of command control and fire control. Only satisfactory solution will be obtained in a limited time because WTA is a NP(Non-determinstic Polynomial) complete problem. An improved genetic algorithm(IGA) has been raised with good global optimization ability and high-timeliness in comparison with standard genetic algorithm(SGA) and particle swarm optimization(PSO).
Keywords :
computational complexity; decision making; genetic algorithms; weapons; NP complete problem; WTA; combat decision-making; command control; fire control; global optimization; improved genetic algorithm; nondeterminstic polynomial; particle swarm optimization; standard genetic algorithm; weapon-target assignment; Biological cells; Genetic algorithms; Optimization; Pediatrics; Sociology; Statistics; Weapons; genetic algorithm; genetic operator; weapon-target assignment;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on
Conference_Location :
Nanchang, Jiangxi
Print_ISBN :
978-1-4673-1902-7
DOI :
10.1109/IHMSC.2012.84
