Application of Grey Wolf Optimizer for optimal placement of web advertisements
Manas Kumar Yogi1, V.Sri Anima Padmini2
1Manas Kumar Yogi*, CSE Dept., Pragati Engineering College(A), Surampalem, Kakinada, A.P., India.
2V.Sri Anima Padmini, B.Tech IV year Student,, CSE Dept., Pragati Engineering College(A) Surampalem, Kakinada, A.P., India.
Manuscript received on November 12, 2019. | Revised Manuscript received on 23 November, 2019. | Manuscript published on December 10, 2019. | PP: 796-799 | Volume-9 Issue-2, December 2019. | Retrieval Number: B6892129219/2019©BEIESP | DOI: 10.35940/ijitee.B6892.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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
Keywords: Grey Wolf ,Optimizer, Web, Advertisement
Scope of the Article: Waveform Optimization for Wireless Power Transfer