A genetic algorithm for public transport driver scheduling
Computers and Operations Research - Special issue on genetic algorithms
An application framework for intelligent and mobile agents
ACM Computing Surveys (CSUR)
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Combined bus and driver scheduling
Computers and Operations Research
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We consider the scheduling issues of 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 is a report on an investigation into how a Multi-agent system (MAS) may be used for resolving scheduling issues of LU. It is a previously-unexplored domain. A prototype system, MASLU is developed through the use of multi-agent system technology, in an innovative and unique manner, with a view of resolving the London Underground's scheduling/logistics issues in real time.