%0 Journal Article
%T Web advertising configuration algorithm based on particle swarm optimization<br>基于改进粒子群算法的网络广告配置优化
%A CHEN Liang
%A ZHANG Mo-hua
%A <br>陈亮
%A 张墨华
%J 计算机应用研究
%D 2012
%I 
%X According to the properties of Web advertising,this paper proposed a hybrid pricing strategy based model.It was modeled as a constrained optimization problem to maximize total revenue of the Web.Used penalty function method for constraint handling,and proposed an improved particle swarm algorithm for solving the Web advertising optimization problem.The simulation results show the effectiveness of the algorithm.
%K Web advertising
%K constrained optimization
%K particle swarm algorithm
%K penalty function
%K hybrid pricing<br>网络广告
%K 约束优化
%K 粒子群算法
%K 罚函数
%K 混合定价
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=4189763B19B8AD456526548A1A6F2674&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=CA4FD0336C81A37A&sid=E22B6B8FE86DD8F9&eid=3986B25773CB6C30&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10