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JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2022 Issue 3, Pages 156–168 (Mi at15911)

This article is cited in 10 papers

Optimization, System Analysis, and Operations Research

Genetic algorithm for solving the problem of optimizing aircraft landing sequence and times

E. L. Kulida

Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, 117997 Russia

Abstract: We consider the NP-hard problem of optimizing the sequence and times of aircraft landings under necessary constraints. It is impossible to obtain an exact solution of the problem online owing to the large amount of calculations. An integrated approach is proposed to produce an approximate solution: a genetic algorithm is applied at the first stage to obtain an initial solution; this algorithm is then improved based on a heuristic algorithm. The approach proposed permits obtaining optimal or nearly optimal solutions in reasonable time. To study the algorithms developed, a simulation software tool was used. Extensive computational experiments have confirmed the efficiency of the approach.

Keywords: air traffic control, aircraft landing sequence, optimization, genetic algorithm, heuristic algorithm.

Presented by the member of Editorial Board: A. A. Lazarev

Received: 19.04.2021
Revised: 21.10.2021
Accepted: 20.11.2021

DOI: 10.31857/S0005231022030114


 English version:
Automation and Remote Control, 2022, 83:3, 426–436


© Steklov Math. Inst. of RAS, 2026