A novel multi-level image segmentation algorithm via random opposition learning-based Aquila optimizer

DOI10.1142/S0219691323500182OpenAlexW4366688491MaRDI QIDQ6052290

Jia Cai, Unnamed Author, Unnamed Author, Unnamed Author

Publication date: 21 September 2023

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219691323500182

zbMATH Keywords

Aquila optimizernonlinear flexible jumping factorrandom opposition-based learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Randomized algorithms (68W20)

Cites Work

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• Multilevel minimum cross entropy threshold selection based on particle swarm optimization
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• A novel heuristic optimization method: charged system search
• GSA: A gravitational search algorithm
• A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
• Tabu Search—Part I

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