• Title of article

    A memetic algorithm to solve the dynamic multiple runway aircraft landing problem

  • Author/Authors

    Bencheikh, Ghizlane Faculty of Law, Economics and Social Sciences, Morocco , Boukachour, Jaouad University of Le Havre, France , Alaoui, Ahmed El Hilali Faculty of Science and Technology, Morocco

  • From page
    98
  • To page
    109
  • Abstract
    The aircraft landing problem (ALP) consists of scheduling the landing of aircrafts onto the available runways in an airport by assigning to each aircraft a landing time and a specific runway while respecting different operational constraints. This is a complex task for the air traffic controller, especially when the flow of aircrafts entering the radar range is continuous and the number of aircrafts is unknown a priori. In this paper, we study the dynamic version of the ALP when new aircrafts appear over time, which means that the landing of the previous aircrafts should be rescheduled. To solve this problem, we propose a memetic algorithm combining an ant colony algorithm and a local heuristic
  • Keywords
    Dynamic aircraft landing problem , Ant colony optimization , Local search , Metaheuristics
  • Journal title
    Journal Of King Saud University - Computer an‎d Information Sciences
  • Journal title
    Journal Of King Saud University - Computer an‎d Information Sciences
  • Record number

    2713691