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Whale optimization algorithm: analysis and full survey
منشور في 2024الموضوعات: "…Whale optimization algorithm…"
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Smart transportation solutions for faster emergency medical services response using an enhanced whale optimization algorithm
منشور في 2024"…A modified Whale Optimization Algorithm (mWOA) is introduced to achieve this goal, focusing on providing 24 × 7 services to every patient in need. …"
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A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text
منشور في 2019الموضوعات: "…text mining; ontology learning; hybrid models; genetic algorithms; whale optimization algorithm…"
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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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Logarithmic spiral search based arithmetic optimization algorithm with selective mechanism and its application to functional electrical stimulation system control
منشور في 2022"…The latter algorithm was constructed using the logarithmic spiral (Ls) search mechanism from the whale optimization algorithm and the greedy selection scheme from the differential evolution algorithm. …"
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Novel hybrid informational model for predicting the creep and shrinkage deflection of reinforced concrete beams containing GGBFS
منشور في 2022"…A hybrid artificial neural network coupled with a metaheuristic Whale optimization algorithm has been developed to estimate the overall deflection of concrete beams due to creep and shrinkage. …"
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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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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. …"