Robust aircraft sequencing and scheduling problem with arrival/departure delay using the min-max regret approach

Research output: Journal article publicationJournal articleAcademic researchpeer-review

58 Citations (Scopus)


To enhance runway resilience, runway operations should remain robust to mitigate the effects of delay propagation. The main objective of this research was to identify an optimal schedule by evaluating the robustness of feasible solutions under its respective worst-case scenario. A novel artificial bee colony algorithm was developed and verified by experimental results. The proposed efficient artificial bee colony algorithm can obtain close-to-optimal results with less computational effort in regard to a one-hour flight traffic planning horizon.
Original languageEnglish
Pages (from-to)115-136
Number of pages22
JournalTransportation Research Part E: Logistics and Transportation Review
Publication statusPublished - 1 Oct 2017


  • Artificial bee colony algorithm
  • Min-max regret approach
  • Mixed-mode parallel runways
  • Robust scheduling
  • Swarm intelligence

ASJC Scopus subject areas

  • Business and International Management
  • Civil and Structural Engineering
  • Transportation

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