会议专题

GA in military equipment investment Plan Application and Simulation

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 its easy to reverse finding the corresponding investment program. Whats more the method is quite easy to be fulfilled.

Utility function Investment cost-effective model Investment cost-effective prediction Genetic Algorithm Weapon and equipment investment

Yang Yuqi Gao Xiaoguang Feng Xiaoyi Li danjiao

School of Electronics and Information Northwestern Polytechnical University Xian, Shaanxi, China 710072

国际会议

2010 International Conference of Informationa Science and Management Engineering(2010年信息科学与管理工程国际学术会议 ISME 2010)

西安

英文

753-756

2010-08-07(万方平台首次上网日期,不代表论文的发表时间)