Applications of Genetic Algorithm and Its Variants in Rail Vehicle Systems: A Bibliometric Analysis and Comprehensive Review

Railway systems are time-varying and complex systems with nonlinear behaviors that require effective optimization techniques to achieve optimal performance. Evolutionary algorithms methods have emerged as a popular optimization technique in recent years due to their ability to handle complex, multi-...

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Bibliographic Details
Published in:IEEE Access
Main Authors: Hamed Jafari Kaleybar, Mohsen Davoodi, Morris Brenna, Dario Zaninelli
Format: Article
Language:English
Published: IEEE 2023-01-01
Subjects:
Genetic algorithm
railway systems
NSGA
multi-objective algorithm
scheduling
energy saving
Online Access:https://ieeexplore.ieee.org/document/10173507/

Internet

https://ieeexplore.ieee.org/document/10173507/

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