An efficient Association based Optimization technique for Web pages

The websites popularity is increasing in all areas. Because of ease in use, data gathering, sharing, business everything is possible through World Wide Web (WWW). So the website ranking and optimization determines that which website is open first and shown in the Google search. The traffic determination and their optimization is a challenging issue. So in this paper we have applied association rule mining algorithm has been applied to find the ranking. The ranking has two bases one is for individual and another is for the associated mining. Then we apply ACO and Random weight PSO algorithm for the comparison. By this method we will be able to find the optimized values and the associated values both.