Metaheuristics in big data: An approach to railway engineering
Silvia Galvan Nunez, Nii Attoh-Okine · 2014
Big data is becoming increasingly important in various fields; railway engineering is no exception. The use of advanced analysis tools will lead to improved reliability and safety in railway systems. This paper addresses how metaheuristics can be used as an optimization technique to accurately analyze large data in railway engineering. Contributions in both optimization and application in railway engineering are also mentioned. Also, future research towards data analysis in real-life problems is discussed.