Application of Quantum Genetic Algorithm to Coal Gangue Piles Explosive Monitoring
Author:
  • Article
  • | |
  • Metrics
  • |
  • Reference [8]
  • |
  • Related [20]
  • | | |
  • Comments
    Abstract:

    According to the specific circumstances of gangue, a wireless sensor network system is designed combining with the characteristics of wireless sensor networks. It could effectively support the on-time gangue environment parameter detection. With the typical parameters, such temperature, the coal gangue combustion can be prevented effectively. At the same time based on wireless sensor network of energy limited, the quantum genetic algorithm for the network multi-objective optimization is designed. The simulation results show that the energy management is optimized and the network load is balanced.

    Reference
    1 卢淑芝.阜新市煤矸石山的综合治理.能源环境保护,2003, (3):35-36.
    2 纪红.无线传感器网络未来新的高技术产业.当代通信,2004,(3):21-22.
    3 张继华,庄益诗,颜语.无线传感网络在预防煤矸石山自燃中 的应用.传感器与微系统,2010,(9):135-137.
    4 丁礼良.量子神经网络模型及其算法研究[硕士学位论文]. 西安:西北大学,2009.
    5 Wang Y, Sun YM, Yu BQ, Ma Y. The optimization of Wireless Sensor Networks in the open-pit mine slope detection base on quantum genetic algorithms. 1st International Conference on Electrical and Control Engineering, Wuhan China, June25-27, 2010.
    6 周明,孙树栋.遗传算法原理及应用.北京:国防工业出版社,1999.
    7 张文修,梁怡.遗传算法的数学基础.西安:西安交通大学出 版社,2000.8. 陈国良等.遗传算法以及应用.北京:人民邮电出版社,1996.
    9 王焱,孙雁鸣,佟维妍.基于遗传算法的露天矿边坡检测传感 网络优化.2011,(2):483-286.
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

王焱,李虎.量子遗传算法在矸石山自爆监测中的应用.计算机系统应用,2012,21(3):193-197

Copy
Share
Article Metrics
  • Abstract:2233
  • PDF: 3692
  • HTML: 0
  • Cited by: 0
History
  • Received:July 06,2011
  • Revised:August 22,2011
Article QR Code
You are the first1095018Visitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063