基于改进粒子群算法的网络广告配置优化

摘要

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.%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.