【作者】 张志华； 王莉； 刘洪；

【Author】 Zhang Zhihua1,Wang Li1,Liu Hong2 1.School of Electronic and Information Engineering,Liaoning University of Science and Technology,Anshan 114051,P.R.China2.School of Sciences,Liaoning University of Science and Technology,Anshan 114051,P.R.China

【机构】 辽宁科技大学电子与信息工程学院； 辽宁科技大学理学院；

【摘要】 研究了优化配置有限广告空间问题,在均衡网站和广告客户利益的条件下建立了基于混合定价的最大化网站收入的数学模型。采用BP神经网络拟合印象与点击率的函数关系,并在此基础上用罚函数法将有约束的优化问题转换为无约束优化问题,针对无约束问题采用了遗传算法进行求解,仿真结果说明了模型和算法的有效性。更多还原

【Abstract】 The optimal problem of scheduling limited advertising resources was studied in this paper.Under the circumstances that the benefits of both websites and advertisers were balanced,a model based on hybrid pricing was proposed for maximizing website revenue.The relation between impression and clicks ratio was fitted by BP neural network,and the constrained optimization problem was converted into unconstrained optimization problem by penalty function method.Genetic algorithm was applied to solve the unconstrained problem.Simulation result shows the effectiveness of this model and algorithm.更多还原