%0 Journal Article
%T Application of Quantum Genetic Algorithm to Coal Gangue Piles Explosive Monitoring<br>量子遗传算法在矸石山自爆监测中的应用
%A WANG Yan
%A LI Hu
%A <br>王焱
%A 李虎
%J 计算机系统应用
%D 2012
%I 
%X 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 ganguc environmcnt pararnctcr detection. With the typical parameters, such temperature, the coal gangue combustion can bc 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 nctwork load is balanced.
%K coal gangue
%K Spontaneous combustion explosive
%K wireless sensor network
%K Quantum genetic algorithm<br>煤矸石
%K 自燃自爆
%K 无线传感网络
%K 量子遗传算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=57C6AD9B0ADA05379EFA5C5857FB4B60&yid=99E9153A83D4CB11&vid=659D3B06EBF534A7&iid=38B194292C032A66&sid=23104246A5FCFCEF&eid=2BA123C6EB9D54C2&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=9