Genetic algorithm based on receding horizon control for arrival sequencing and scheduling

Authors:
Xiao-Bing Hu;Wen-Hua Chen
Affiliations:
Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough, Leicestershire LE11 3TU, UK;Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough, Leicestershire LE11 3TU, UK
Venue:
Engineering Applications of Artificial Intelligence
Year:
2005

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Abstract

The concept of Receding Horizon Control (RHC) is introduced into Genetic Algorithm (GA) in this paper to solve the problem of arrival scheduling and sequencing (ASS) at a busy hub airport. A GA-based method is proposed for solving the dynamic ASS problem, and the focus is put on the methodology of integrating the RHC strategy into the GA for real-time implementations in a dynamic environment of air traffic control. Receding horizon and terminal penalty are investigated in depth as two key techniques of this novel RHC-based GA. Simulation results show that the new method proposed in this paper is effective and efficient to solve the ASS problem in a dynamic environment.