Title :
GA in Military Equipment Investment Plan Application and Simulation
Author :
Yuqi, Yang ; Xiaoguang, Gao ; Xiaoyi, Feng ; Danjiao, Li
Author_Institution :
Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´´an, China
Abstract :
Using GA (Genetic Algorithm) the paper discussed the cost-effective problem of military equipment R&D (research and development) from the economics viewpoint, gave an investment cost-effective prediction method in the military equipment investment plan: (1) under the effectiveness object determined to predict the optimal investment law and the minimum investment with GA; (2) under the amount of development funds determined to predict the best R&D result with GA. The simulation results show that GA works well in investment cost-effective prediction and it`s easy to reverse finding the corresponding investment program. What`s more the method is quite easy to be fulfilled.
Keywords :
genetic algorithms; investment; military equipment; planning; economics viewpoint; genetic algorithm; investment cost effective prediction method; military equipment investment plan; minimum investment; optimal investment law; Biological system modeling; Databases; Forecasting; Investments; Military equipment; Predictive models; Presses; Genetic Algorithm; Investment cost-effective model; Investment cost-effective prediction; Utility function; Weapon and equipment investment;
Conference_Titel :
Information Science and Management Engineering (ISME), 2010 International Conference of
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-7669-5
Electronic_ISBN :
978-1-4244-7670-1
DOI :
10.1109/ISME.2010.163
