Genetic algorithm for interval optimization and its application in the web-advertising income control

被引：0
|
作者：
Liao, Qin [1 ]
Li, Xiwen [1 ]
机构：
[1] South China Univ Technol, Sch Math Sci, Guangzhou 510640, Guangdong, Peoples R China
来源：
APPLIED ARTIFICIAL INTELLIGENCE | 2006年
关键词：
interval optimization; genetic algorithm; web advertisement; advertising income;
D O I：
10.1142/9789812774118_0070
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The control problem of the web-advertising income is discussed in this paper. Firstly, the evaluation index system of the web advertisement and the evaluation model of the neural network are built. Secondly, in order to effectively control the factors influencing the income of the web advertisement, the genetic algorithm for interval optimization is proposed to find the corresponding intervals of those factors according to the anticipant income in a certain interval. Finally, an appropriate allocation of the advertising cost is made by using the clustering algorithm to classify the keywords. Numerical experiments are given and the results show that the novel method is effective.
引用
收藏
页码：493 / +
页数：2
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