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Greater cane rat algorithm (GCRA): A nature-inspired metaheuristic for optimization problems.

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第一作者： Jeffrey O,Agushaka

第一单位： Department of Computer Science, Federal University of Lafia, Lafia 950101, Nigeria.

作者： Jeffrey O,Agushaka ^[1] ; Absalom E,Ezugwu ^[2] ; Apu K,Saha ^[3] ; Jayanta,Pal ^[4] ; Laith,Abualigah ^[5] ; Seyedali,Mirjalili ^[6]

作者单位： Department of Computer Science, Federal University of Lafia, Lafia 950101, Nigeria. ^[1] Unit for Data Science and Computing, North-West University, 11 Hoffman Street, Potchefstroom, 2520, South Africa. ^[2] Department of Mathematics, National Institute of Technology Agartala, Agartala, Tripura, 799046, India. ^[3] Department of IT, Tripura University, Suryamaninagar, Tripura 799022, India. ^[4] Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman 19328, Jordan.;Computer Science Department, Al Al-Bayt University, Mafraq 25113, Jordan.;MEU Research Unit, Middle East University, Amman, Jordan.;Applied science research center, Applied science private university, Amman 11931, Jordan. ^[5] Centre for Artificial Intelligence Research and Optimization, Torrens University, Australia. ^[6]

关键词 CEC 2011 CEC 2020 Greater cane rat algorithm metaheuristic nature-inspired optimization population-based real-world problem

DOI 10.1016/j.heliyon.2024.e31629

PMID 38845929

发布时间 2025-12-15

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