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"dog optimization algorithm" » "_ optimization algorithm" (Expand Search), "igdt optimization algorithm" (Expand Search)
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Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems
Published 2023Subjects: “…Prairie dog optimization algorithm…”
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Teaching–learning-based optimization algorithm: analysis study and its application
Published 2024Subjects: “…Teaching–learning-based optimization algorithm…”
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The buffered work-pool approach for search-tree based optimization algorithms
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Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization
Published 2024“…This hybrid approach, the Improved Prairie Dog Optimization Algorithm (IPDOA) with the Genetic Algorithm (GA), utilizes the strengths of both algorithms to improve the overall optimization performance. …”
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Elk herd optimizer
Published 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
Published 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)
Published 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
Published 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
Published 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
Published 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. …”