Considering flexibility in the evolutionary dynamic optimisation of airport security lane schedules
Airports face pressures to reduce costs at the security lane area by reducing lane opening hours whilst maintaining a passenger service level. Evolutionary methods have been shown to design schedules that minimise both objectives. However, by reducing lane opening hours schedules have a tendency to over-fit the expectation of passenger arrivals at security resulting in long delays with deviations from this forecast. Evolutionary dynamic re-optimisation can mitigate for this reducing passenger waiting times but the security lane problem is an example of a constrained problem in that schedules cannot be significantly altered. Consequently, this paper will investigate the consideration of flexibility when evolving initial schedules to facilitate the evolutionary dynamic re-optimization process. Several differing methods of measuring flexibility will be investigated alongside reducing security lane opening hours and passenger waiting times. Results demonstrate that considering flexibility in the initial design of schedules improves the effectiveness of evolutionary dynamic re-optimisation of schedules.
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Citation : Chitty, D.M., Yang, S. and Gongora, M. (2017) Considering flexibility in the evolutionary dynamic optimisation of airport security lane schedules. Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence,
Research Group : Centre for Computational Intelligence
Research Institute : Institute of Artificial Intelligence (IAI)
Peer Reviewed : Yes