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

Subjects: “…Teaching–learning-based optimization algorithm…”
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The buffered work-pool approach for search-tree based optimization algorithms by 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 by Muhammad Shahid Wasim (16883984)

Recent Advances in Butterfly Optimization Algorithm, Its Versions and Applications by Abasi, Ammar

“…The butterfly optimization algorithm (BOA) is a recent successful metaheuristic swarm-based optimization algorithm. …”
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A Quasi-Oppositional Method for Output Tracking Control by Swarm-Based MPID Controller on AC/HVDC Interconnected Systems With Virtual Inertia Emulation by Iman M. Hosseini Naveh (16891482)

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Elk herd optimizer by Al-Betar, Mohammed Azmi

“…This paper proposes a novel nature-inspired swarm-based optimization algorithm called elk herd optimizer (EHO). …”
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Coronavirus herd immunity optimizer (CHIO) by 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 by 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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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 by Haitao Xu (435549)

“…The complex gas hydrate prevention unit is simulated using the MLPNN model trained by 20 different optimization algorithms. This study investigates the gradient-based, evolutionary, and Bayesian-based optimization algorithms. …”

Differential Evolution and Its Applications in Image Processing Problems: A Comprehensive Review by 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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