Hare escape optimization algorithm with applications in engineering and deep learning

Hare escape optimization algorithm with applications in engineering and deep learning

Abstract The Hare Escape Optimization (HEO) algorithm is a novel metaheuristic inspired by the evasive movement strategies of hares when pursued by predators. Unlike conventional nature-inspired algorithms, HEO integrates Levy flight dynamics and adaptive directional shifts to enhance the balance be...

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Bibliographic Details
Main Authors: Doaa Alsamee, Reza Ramezani
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Metaheuristics
Swarm intelligence
Engineering design optimization
Convolutional neural networks
Hyperparameter tuning
Hare escape optimization
Online Access:https://doi.org/10.1038/s41598-025-10289-3
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https://doi.org/10.1038/s41598-025-10289-3

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