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

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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Bibliografiska uppgifter
Huvudupphovsmän: Rizk M. Rizk-Allah, Mohamed I. Zineldin, Abd Allah A. Mousa, S. Abdel-Khalek, Mohamed S. Mohamed, Václav Snášel
Materialtyp: Artikel
Språk:English
Publicerad: Springer 2022-08-01
Serie:International Journal of Computational Intelligence Systems
Ämnen:
Meta-heuristic algorithm
Manta ray foraging optimization
Particle swarm optimization
Swarm optimization
Tremblay's model
Li-ion battery
Länkar:https://doi.org/10.1007/s44196-022-00114-4

Internet

https://doi.org/10.1007/s44196-022-00114-4

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