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Agent-based airline scheduling

โœ Scribed by J.J. Langerman; E.M. Ehlers


Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
260 KB
Volume
33
Category
Article
ISSN
0360-8352

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โœฆ Synopsis


The development of an airline schedule can be defined as the art of developing system-wide flight patterns that deliver optimum service to the public in terms of quantity as well as quality. The development oftbe schedule is market driven with maintenance and crew requirements as constraints. This paper deals with an integrated agent-based approach for the airline scheduling problem. A bidding protocol is used to generate a market based schedule. FIFO and genetic algorithms are used to develop a crew schedule. An expert system combined with the Q-learning algorithm assist operational schedulers in resolving operational conflicts such as delays.


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In short term scheduling, distributed systems have an hedge over centralized ones under many points of view. Among the others, they can solve large problems by splitting them in simple tasks, and can tolerate uncertain data and knowledge. In literature a few distributed architecture for short term s