An efficient genetic algorithm with uniform crossover for air traffic control

DOI10.1016/j.cor.2007.09.005zbMath1163.90492OpenAlexW2115728288MaRDI QIDQ947960

Ezequiel Di Paolo, Xiao-Bing Hu

Publication date: 8 October 2008

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2007.09.005

zbMATH Keywords

genetic algorithmair traffic controlfollowing relationshipmulti-runway systemsscheduling and sequencinguniform crossover

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (6)

Minimizing deviation from scheduled times in a single mixed-operation runway ⋮ Airport runway scheduling ⋮ The aircraft runway scheduling problem: a survey ⋮ Robust long-term aircraft heavy maintenance check scheduling optimization under uncertainty ⋮ A bilevel flight collaborative scheduling model with traffic scenario adaptation: an arrival prior perspective ⋮ A new intelligent approach for air traffic control using gravitational search algorithm

Cites Work

• Evolutionary computing
• Genetic search methods in air traffic control
• Scheduling tasks with sequence-dependent processing times
• A Dynamic Programming Approach for Sequencing Groups of Identical Jobs
• Scheduling aircraft landings at London Heathrow using a population heuristic
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