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Improved gradual change-based Harris Hawks optimization for real-world engineering design problems

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Abstract

Harris Hawks optimization (HHO) is a recently introduced meta-heuristic approach, which simulates the cooperative behavior of Harris’ hawks in nature. In this paper, an improved variant of HHO is proposed, called HHSC, to relieve the main shortcomings of the conventional method that converges either fast or slow and falls in the local optima trap when dealing with complex problems. Two search strategies are added into the conventional HHO. First, the sine function is used to improve the convergence speed of the HHO algorithm. Second, the cosine function is used to enhance the ability of the exploration and exploitation searches during the early and later stages, respectively. The incorporated new two search methods significantly enhanced the convergence behavior and the searchability of the original algorithm. The performance of the proposed HHSC method is comprehensively investigated and analyzed using (1) twenty-three classical benchmark functions such as unimodal, multi-modal, and fixed multi-modal, (2) ten IEEE CEC2019 benchmark functions, and (3) five common engineering design problems. The experimental results proved that the search strategies of HHO and its convergence behavior are significantly developed. The proposed HHSC achieved promising results, and it got better effectiveness in comparisons with other well-known optimization methods.

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Acknowledgements

This study was financially supported via a funding grant by Deanship of Scientific Research, Taif University Researchers Supporting Project number (TURSP-2020/300), Taif University, Taif, Saudi Arabia

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Authors and Affiliations

  1. Faculty of Computer Sciences and Informatics, Amman Arab University, Amman, 11953, Jordan

    Laith Abualigah

  2. School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, 11800, Malaysia

    Laith Abualigah

  3. Division of Engineering, New York University Abu Dhabi, Saadiyat Island, 129188, Abu Dhabi, UAE

    Ali Diabat

  4. Department of Civil and Urban Engineering, Tandon School of Engineering, New York University, Brooklyn, NY, 11201, USA

    Ali Diabat

  5. Department of Management Information System, College of Business Administration, Taif University, P.O. BOX 11099, Taif, 21944, Saudi Arabia

    Maryam Altalhi

  6. Department of Mathematics, Faculty of Science, Zagazig University, Zagazig, 44519, Egypt

    Mohamed Abd Elaziz

  7. Artificial Intelligence Research Center (AIRC), Ajman University, Ajman, 346, United Arab Emirates

    Mohamed Abd Elaziz

  8. Faculty of Computer Science & Engineering, Galala University, Suze, 435611, Egypt

    Mohamed Abd Elaziz

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  1. Laith Abualigah
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Abualigah, L., Diabat, A., Altalhi, M. et al. Improved gradual change-based Harris Hawks optimization for real-world engineering design problems. Engineering with Computers 39, 1843–1883 (2023). https://doi.org/10.1007/s00366-021-01571-9

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