%0 Journal Article
%T PSO algorithm connected with neural network for solving a class of 0/1 optimization problems<br>一类0/1优化问题融合神经网络的粒子群算法
%A DUAN Yu-hong
%A GAO Yue-linSchool of Mathematics
%A Computer
%A Ningxia University
%A Yinchuan Ningxia
%A China
%A <br>段玉红
%A 高岳林
%J 计算机应用
%D 2008
%I 
%X A hybrid PSO algorithm was proposed, where the Hopfield manpower neural network with better local searching ability was combined with PSO for solving a class of 0/1 knapsack problem. The current global optimum chromosome activated the neural network and obtained a local optimum state that was used to replace the current global optimum chromosome in this algorithm. Local optimization ability of the algorithm was strengthened. Numerical test shows that this algorithm is effective.
%K Particle Swarm Optimization (PSO)
%K neural network
%K 0/1 optimization problem<br>粒子群优化
%K 神经网络
%K 0/1优化问题
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=DED293076E7786CD8CD5BA1FD1424E7B&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=B31275AF3241DB2D&sid=9B1BEE8CA21457F1&eid=3263523096AC9895&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=10