Results 71 to 80 of about 475 (164)
Optimization of Power Prediction of BP Network with Improved Pelican Algorithm
Abstract In view of the large fluctuation of photovoltaic output power affected by different weather, accurate prediction of photovoltaic output power is particularly important for the safe and stable operation of power system. Firstly, the pelican optimization algorithm ( POA ) is improved in the following three aspects : adding Circle ...
Lichuan Hui, Yao Li, Lizhi Zan
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In this paper, an improved algorithm called BWOA-POA is a hybrid algorithm based on the Black Widow Algorithm (BWOA), which is an algorithm inspired by nature and has excellent specifications in addition to another algorithm, the Pelican Swarm Optimization Algorithm (POA), which is a smart swarm algorithm that is also inspired by nature When studying ...
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Enhanced Pelican Optimization Algorithm with Deep Learning-Driven Mitotic Nuclei Classification on Breast Histopathology Images. [PDF]
Alrowais F +5 more
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Multi-strategy Improved Pelican Optimization Algorithm for Mobile Robot Path Planning
In response to the problems of easily falling into local optima, low path planning accuracy, and slow convergence speed when applying the traditional pelican optimization algorithm to the mobile robot path planning problem, a multi-strategy improved pelican optimization algorithm (MPOA) is proposed.
Chun Qing Li +2 more
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Aiming at the problem of complex transformer structure and small amount of early winding fault sample data, in order to improve the accuracy of transformer winding fault type diagnosis, this paper proposes an early fault diagnosis model of transformer ...
LIU Jianfeng +5 more
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This study investigates the performance improvement method of Pelican Optimization Algorithm (POA) through two different methods, namely Conjugate Gradient (CG) and Osprey Optimization Algorithm (OOA). The (POA) algorithm is a super-intuitive algorithm that has the ability to solve complex optimization problems.
Azhar Zaki Abdullah, Ban Ahmed Mitras
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The rise of Electric Vehicles (EVs) has introduced significant advancement and evolution in the electricity market. In smart transportation, the EVs have earned more popularity because of its numerous benefits including lower carbon footprints, higher ...
Taher Al-Shehari +8 more
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This study presents an advanced metaheuristic approach termed the Enhanced Gorilla Troops Optimizer (EGTO), which builds upon the Marine Predators Algorithm (MPA) to enhance the search capabilities of the Gorilla Troops Optimizer (GTO).
Mohamed H. Hassan +2 more
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This paper presents an enhanced strategy for control of Doubly Fed Induction Generator (DFIG) wind energy systems interconnected to the grid. The proposed approach focuses on optimizing the performance of both the grid side converter (GSC) and the rotor ...
P. V. S. S. A. Parimala, Narendra Babu P
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