On a Novel Hybrid Manta Ray Foraging Optimizer and Its Application on Parameters Estimation of Lithium-Ion Battery

Abstract In this paper, we propose a hybrid meta-heuristic algorithm called MRFO-PSO that hybridizes the Manta ray foraging optimization (MRFO) and particle swarm optimization (PSO) with the aim to balance the exploration and exploitation abilities. In the MRFO-PSO, the concept of velocity of the PS...

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Hlavní autoři: Rizk M. Rizk-Allah, Mohamed I. Zineldin, Abd Allah A. Mousa, S. Abdel-Khalek, Mohamed S. Mohamed, Václav Snášel
Médium: Článek
Jazyk:English
Vydáno: Springer 2022-08-01
Edice:International Journal of Computational Intelligence Systems
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On-line přístup:https://doi.org/10.1007/s44196-022-00114-4