Application of Grey Wolf Optimizer for optimal placement of web advertisements

Abstract

This paper throws enough exposure to reliable and optimal placement of advertisement by applying a nature inspired optimization technique. The grey-wolf optimizer helps us in determining how to assign web pages with relevant advertisements. Relevancy may increase by fine tuning the factors based on which our proposed mechanism is developed. We have taken into account fire major factors depending on which the optimizer is modeled. Later in this paper we have presented the robustness of each of this factor and how they influence the percentage of relevancy of advertisement placement