摘要
针对网络广告的特点,提出了一个基于混合定价策略的网络广告资源配置优化模型,将其建模为一个约束优化问题,最大化网站的总收益。通过罚函数法进行约束处理,提出一种改进的粒子群算法进行求解。仿真结果表明了该算法的有效性。
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.
出处
《计算机应用研究》
CSCD
北大核心
2012年第1期142-144,共3页
Application Research of Computers
关键词
网络广告
约束优化
粒子群算法
罚函数
混合定价
Web advertising
constrained optimization
particle swarm algorithm
penalty function
hybrid pricing
