Multi-Criteria Adaptive Websites using Grey Wolf Optimization
Santosh Kumar, Jyoti Bisht, Tarun Sarawgi · 2024
The World Wide Web is an international network of linked files and resources that may be viewed online. It consists of web pages, multimedia files, and apps connected by hyperlinks for a variety of uses, including e-commerce and communication. This paper explores the diminishing efficacy of conventional SEO techniques such as PageRank and HITS Algorithm in the rapidly evolving online environment. To address this challenge, the research investigates the application of natural algorithms, including Grey Wolf Optimization (GWO), Ant Colony Optimization (ACO), and the Best-Fit Search Algorithm, to optimize web page ranking. The study focuses on the utilization of these adaptable algorithms to adaptively rearrange website content, enhancing user engagement and navigation. Experimentally it has been shown that the proposed GWO based algorithm for selecting top ranked web links achieves $0.98 \%$ of improvement in cost keeping runtime comparable with other algorithms.