基于自适应免疫算法的网站广告分配优化

发布时间：2018-03-28 03:19

本文选题：网站广告　切入点：约束优化　出处：《计算机工程与科学》2012年01期

【摘要】：如何优化网站广告分配,实现网站运行商和广告客户收益的双赢,是网站广告分配问题的关键。针对网站广告的特点,本文提出了一个基于混合定价策略的网站广告资源配置优化模型,将其建模为一个最大化网站总收益的约束优化问题,并通过自适应免疫克隆算法进行求解。自适应特性主要表现在:根据亲和度动态分配记忆单元和一般抗体单元,从而将全局搜索和局部搜索有效结合起来,有效提高了求解精度和收敛速度。同时,根据网站广告分配问题特点,设计了其它相关的免疫算子,如编码、克隆变异、克隆选择。仿真结果表明,算法有效平衡了网站广告客户和网站运营商的利益,求解结果更加实用。
[Abstract]:How to optimize the distribution of website advertisements and realize the win-win between website operators and advertisers is the key to the problem of website advertising distribution. This paper presents an optimization model of advertising resource allocation based on mixed pricing strategy, which is modeled as a constrained optimization problem to maximize the total revenue of the website. Adaptive immune clone algorithm is used to solve the problem. The adaptive characteristics are as follows: dynamic allocation of memory units and general antibody units according to affinity, so that global search and local search can be effectively combined. At the same time, according to the characteristics of website advertisement assignment problem, other related immune operators are designed, such as coding, clone mutation, clone selection. The simulation results show that, The algorithm effectively balances the interests of website advertisers and website operators, and the results are more practical.
【作者单位】：河南城建学院信息中心;
【分类号】：F49;F713.8;TP18

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