摘要
研究了网络环境下优化配置有限广告资源的问题。在最大化总体点击率的基础上引入了定价模型,提出了在企业广告预算一定的条件下,基于混合定价的最大化网站收入的决策模型。目标函数是有约束的优化问题,采用罚函数法转换为无约束优化问题,针对无约束问题采用遗传算法进行求解,仿真结果说明了模型和算法的可行性。
An optimal problem of scheduling limited web advertising resources was studied.Considered website pricing on the basis of maximizing total clicks ratio,a decision model based on hybrid pricing was proposed for maximizing website revenue when the advertising budget is fixed.Objective function is a constrained optimization problem,which 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.
出处
《辽宁科技大学学报》
CAS
2006年第5期510-514,519,共6页
Journal of University of Science and Technology Liaoning
关键词
网络广告
点击率
混合定价
约束优化
遗传算法
web advertising
clicks ratio
hybrid pricing
constrained optimization
genetic algorithm
