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A new intelligent approach for air traffic control using gravitational search algorithm

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Publication:739945
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DOI10.1007/s12046-015-0400-8zbMath1342.90057OpenAlexW2286934380MaRDI QIDQ739945

Nasser Mehrshad, Kazem Dastgerdi, Mohsen Farshad

Publication date: 11 August 2016

Published in: Sādhanā (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s12046-015-0400-8

zbMATH Keywords

GSATCAALPminimizing total flight delaysminimum separation time


Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Case-oriented studies in operations research (90B90)



Uses Software

  • GSA


Cites Work

  • A non-classical solution to a Hessian equation from Cartan isoparametric cubic
  • The Cheng-Minkowycz problem for natural convection about a vertical plate embedded in a tridisperse porous medium
  • Scatter search and bionomic algorithms for the aircraft landing problem
  • Scheduling models for air traffic control in terminal areas
  • An efficient genetic algorithm with uniform crossover for air traffic control
  • Minimizing total completion time subject to release dates and sequence-dependent processing times
  • Genetic search methods in air traffic control
  • GSA: A gravitational search algorithm
  • Scheduling Aircraft Landings—The Static Case
  • Scheduling aircraft landings at London Heathrow using a population heuristic
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