Real-time optimization of Web page layout using genetic algorithm

Today, many web sites from which presents newspapers and papers to e-commerce web sites which sells products presents very large contents. It is a big problem for web sites with large information that web site should be prepared dynamically and users should read it conveniently and also it should require minimum page size. It is not possible to prepare these pages being created in real-time depending on users' choices and prefers by means of manual. In this kind of web sites there may be bad page layout and spaces. In this study, it has been realized that web pages are created in real-time with two columns and least spaces. So that, papers in the web page are arranged depending on expire time and total lines are significantly decreased. The experimental results have showed that genetic algorithm is successful in optimization of real-time web page layout.