A decentralised multi-agent system for rail freight traffic management

DOI10.1007/s10479-021-04178-xOpenAlexW3180921395MaRDI QIDQ2678613

Stephan Chalup, Claudio Sanhueza, Alexandre Mendes, Martin Jackson, Allan M. C. Bretas, Riley Clement

Publication date: 23 January 2023

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-021-04178-x

zbMATH Keywords

evolutionary algorithmsmulti-agent systemsrail traffic managementsimulation-based machine learning

Mathematics Subject Classification ID

Mathematical programming (90Cxx) Artificial intelligence (68Txx) Operations research and management science (90Bxx)

Related Items (1)

Understanding the effect of contextual factors and decision making on team performance in Twenty20 cricket: an interpretable machine learning approach

Cites Work

• Unnamed Item
• An application of genetic and tabu searches to the freight railroad operating plan problem
• Handbook of optimization in the railway industry
• Job-shop scheduling with blocking and no-wait constraints
• The Complexity of Decentralized Control of Markov Decision Processes
• Scheduling
• Introduction to evolutionary computing

This page was built for publication: A decentralised multi-agent system for rail freight traffic management