Whale optimization algorithm: analysis and full survey حسب Abualigah, Laith

الموضوعات: "…Whale optimization algorithm…"
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A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text حسب M. Ghoniem , Rania

الموضوعات: "…text mining; ontology learning; hybrid models; genetic algorithms; whale optimization algorithm…"
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Smart transportation solutions for faster emergency medical services response using an enhanced whale optimization algorithm حسب Hina Gupta (21842246)

"…A modified Whale Optimization Algorithm (mWOA) is introduced to achieve this goal, focusing on providing 24 × 7 services to every patient in need. …"

A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm حسب Amirsajjad Rahmani (17541453)

الموضوعات:

Teaching–learning-based optimization algorithm: analysis study and its application حسب Abualigah, Laith

الموضوعات: "…Teaching–learning-based optimization algorithm…"
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The buffered work-pool approach for search-tree based optimization algorithms حسب Abu-Khzam, Faisal N.

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A critical review and performance comparisons of swarm-based optimization algorithms in maximum power point tracking of photovoltaic systems under partial shading conditions حسب Muhammad Shahid Wasim (16883984)

A Quasi-Oppositional Method for Output Tracking Control by Swarm-Based MPID Controller on AC/HVDC Interconnected Systems With Virtual Inertia Emulation حسب Iman M. Hosseini Naveh (16891482)

الموضوعات:

Logarithmic spiral search based arithmetic optimization algorithm with selective mechanism and its application to functional electrical stimulation system control حسب Abu Zitar, Raed

"…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. …"

Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning حسب Abu Doush, Iyad

"…The performance of RF is improved further using a dimensionality reduction method called binary whale optimization algorithm (BWOA) to eliminate the irrelevant/redundant features. …"
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Novel hybrid informational model for predicting the creep and shrinkage deflection of reinforced concrete beams containing GGBFS حسب Iman Faridmehr (14150616)

"…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. …"

Elk herd optimizer حسب Al-Betar, Mohammed Azmi

"…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 حسب Abasi, Ammar

"…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) حسب Abou Doush, Iyad

"…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 حسب Al-Betar, Mohammed Azmi

"…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 حسب Chakraborty, Sanjoy

"…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 حسب Haitao Xu (435549)

"…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. …"