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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Basra, R | - |
dc.contributor.author | Lü, K | - |
dc.contributor.author | Rzevski, G | - |
dc.date.accessioned | 2011-04-08T13:29:46Z | - |
dc.date.available | 2011-04-08T13:29:46Z | - |
dc.date.issued | 2005 | - |
dc.identifier.citation | Holonic and Multi-Agent Systems for Manufacturing; Lecture Notes in Compter Science, Volume 3593/2005, 188-196 | en_US |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/4986 | - |
dc.description | The published version of this article may be accessed from the link below - Copyright @ 2005 Springer-Verlag | en_US |
dc.description.abstract | We consider the scheduling issues for The London Underground (LU), which spans the entire city, and is a vast network of inter-related railway lines. By its very nature, it is a dynamic, complex and unpredictable environment; operating or being maintained 24 hours-a-day. This paper reports on an investigation into how a Multi-Agent System (MAS) may be used for resolving scheduling issues for LU. It is a previously unexplored domain. A prototype system MASLU is developed through the use of MAS technology, in an innovative and unique manner, with a view to resolving the London Undergrounds scheduling issues in real time. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer-Verlag | en_US |
dc.subject | Artificial intelligence (AI) | en_US |
dc.subject | Multi-agent systems (MAS) | en_US |
dc.subject | Intelligent agents (IA) | en_US |
dc.subject | London Underground | en_US |
dc.subject | Railway scheduling | en_US |
dc.subject | Agent-based systems | en_US |
dc.subject | Tube network | en_US |
dc.subject | Logistics | en_US |
dc.subject | Intelligent systems | en_US |
dc.subject | Intelligent scheduling | en_US |
dc.title | Resolving scheduling issues of the London Underground using a multi-agent system | en_US |
dc.type | Research Paper | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/11537847_17 | - |
Appears in Collections: | Business and Management Brunel Business School Research Papers |
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