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Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).

Home Page: https://aliasgharheidari.com/HHO.html

License: MIT License

MATLAB 100.00%
artificial-intelligence optimization-algorithms metaheuristics swarm-intelligence modeling computer-science algorithms-and-data-structures optimization evolutionary-algorithms evolutionary-computation

harris-hawks-optimization-algorithm-and-applications's Introduction

Dr. Ali Asghar Heidari

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Dr. Ali Asghar Heidari has been a researcher with the School of Computing at the National University of Singapore (NUS), the University of Tehran, Wenzhou University, and recognized as an elite by Iran's National Elites Foundation (INEF). Dr. Heidari has contributed to over 200 research articles, gaining over 23,500+ citations and achieving an H-index of 70+. His work spans performance optimization, advanced machine learning, evolutionary computation, information systems, and mathematical modeling. Delve deeper into his contributions and insights on his website https://aliasgharheidari.com

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