Solving the aircraft engine maintenance scheduling problem using a multi-objective evolutionary algorithm

Authors:
Mark P. Kleeman;Gary B. Lamont
Affiliations:
Air Force Institute of Technology, Wright-Patterson Air Force Base Dayton, OH;Air Force Institute of Technology, Wright-Patterson Air Force Base Dayton, OH
Venue:
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Year:
2005

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Communications of the ACM - Electronic supplement to the December issue

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Abstract

Scheduling problems are a very common research topic. This is because, for efficiency reasons, our world relies heavily on schedules and deadlines. Aircraft engine maintenance is no exception. The United States Air Force has many planes that it must keep up and running. But with the downsizing that has occurred in recent years, the number of planes that are operational has become more critical. This means that every effort needs to be made to ensure that not only are the engines repaired in an efficient manner, but that their component's scheduled maintenance cycles are in sync so that the engine has fewer trips to the logistics maintenance center.