%0 Journal Article
%T Hopfield neural networks for Job-Shop scheduling problems based on improved energy function<br>一种Hopfield神经网络能量函数改进下的作业车间调度*
%A ZANG Wen-ke
%A LIU Xi-yub
%A <br>臧文科
%A 刘希玉b
%J 计算机应用研究
%D 2011
%I 
%X Because the objective function of Job-Shop scheduling problem(JSSP) can not be transposed matrix elements in the form of a mathematical formula,there is no guarantee that a global optimal solution.First,this paper improved the permutation matrix,gave a new energy function with objective function.Then it proposed the modified Hopfield neural network for JSSP,and applied the simulated annealing algorithm to the Hopfield neural network to avoid a local maximum.The simulation results show that the method has th...
%K Hopfield neural network
%K Energy functions
%K Job-shop scheduling
%K Combinatorial optimization<br>Hopfield神经网络
%K 能量函数
%K 作业车间调度
%K 组合优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=CF108DE9C7DE59E2FE218C5417933EA8&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=B31275AF3241DB2D&sid=E1A8B116B8F72D84&eid=84B0BD1ACE2C0D86&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10