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Dynamic Airspace Sectorization Problem Using Hybrid Genetic Algorithm

  • Mohammed Gabli
  • El Miloud Jaara
  • El Bekkaye Mermri
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 111)

Abstract

In this paper, we are interested in a dynamic airspace sectorization problem (ASP) with constraints. The objective is to minimize the coordination workload between adjacent sectors and to balance the workload across the sectors. We modeled this problem in the form of multi-objective optimization problem that can be transformed into a mono-objective problem with dynamic weights between the objective functions. To solve the ASP problem we used a hybrid genetic algorithm. The proposed model is illustrated by a numerical example from a real life problem.

Keywords

Airspace sectorization Multi-objective optimization Hybrid genetic algorithm 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Mohammed Gabli
    • 1
    • 2
  • El Miloud Jaara
    • 1
    • 2
  • El Bekkaye Mermri
    • 1
    • 3
  1. 1.Faculty of ScienceUniversity Mohammed PremierOujdaMorocco
  2. 2.Department of Computer Science, Laboratory of Research in Computer Science (LARI)OujdaMorocco
  3. 3.Department of Mathematics, Laboratory of Arithmetic, Scientific Computing and Applications (LACSA)OujdaMorocco

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