Title :
Armored materiel storage variety optimization based on GA-AHP
Author :
Qingling, Lu ; Mengliang, Bai ; Xinyang, Zhang ; Enjie, Lian
Author_Institution :
Dept. of Tech. Support Eng., Acad. of Armored Forces Eng., Beijing, China
Abstract :
The optimization of armored materiel storage variety is studied in this paper. The basic principle of GA-AHP is introduced, the influence factor of the materiel variety is analyzed and materiel variety index system is set up. According to the system, materiel variety optimization process based on GA-AHP is constructed. At last, take electricity system of an armored vehicle as an example, study materiel storage variety optimization. It has an important theoretical meaning to materiel storage rationally.
Keywords :
decision making; genetic algorithms; military vehicles; storage; GA-AHP; analytic hierarchy processing; armored materiel storage variety; armored vehicle electricity system; genetic algorithm; Concrete; Electricity; Indexes; Maintenance engineering; Material storage; Optimization; Vehicles;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-0813-8
DOI :
10.1109/ICICIP.2011.6008373
