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Teaching–learning-based optimization algorithm: analysis study and its application
منشور في 2024الموضوعات: "…Teaching–learning-based optimization algorithm…"
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Elk herd optimizer
منشور في 2024"…This paper proposes a novel nature-inspired swarm-based optimization algorithm called elk herd optimizer (EHO). …"
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Recent Advances in Butterfly Optimization Algorithm, Its Versions and Applications
منشور في 2023"…The butterfly optimization algorithm (BOA) is a recent successful metaheuristic swarm-based optimization algorithm. The BOA has attracted scholars’ attention due to its extraordinary features. …"
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Coronavirus herd immunity optimizer (CHIO)
منشور في 2020"…In this paper, a new nature-inspired human-based optimization algorithm is proposed which is called coronavirus herd immunity optimizer (CHIO). …"
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An enhanced binary artificial rabbits optimization for feature selection in medical diagnosis
منشور في 2023"…ARO is a recent swarm-based optimization algorithm that mimics rabbits’ natural survival tactics and eating habits. …"
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Differential Evolution and Its Applications in Image Processing Problems: A Comprehensive Review
منشور في 2022"…Differential evolution (DE) is one of the highly acknowledged population-based optimization algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems. …"
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Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm
منشور في 2022"…This paper proposes a multilayer RDH method using the multilevel thresholding technique to reduce the difference value in pixels and increase the visual quality and the embedding capacity. Optimization algorithms are one of the most popular methods for solving NP-hard problems. …"
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Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy
منشور في 2023"…This study investigates the gradient-based, evolutionary, and Bayesian-based optimization algorithms. Combining statistical and ranking analyses confirms that the Levenberg–Marquardt (LM) is the most efficient optimization technique for training the MLPNN model. …"