Aircraft Emergency Landing Areas Accessibility Analysis Using Multi-objective Optimization.

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Title: Aircraft Emergency Landing Areas Accessibility Analysis Using Multi-objective Optimization.
Authors: Illi, Adil1 a.illi.ced@uca.ac.ma, El Guarmah, El Mahdi2 guarmah@gmail.com, El Hadaj, Salah3 elhadajs@yahoo.fr, Bouzaachane, Khadija4 k.bouzaachane@uca.ac.ma
Source: Engineering Letters. May2026, Vol. 34 Issue 5, p1969-1977. 9p.
Subjects: Multi-objective optimization, Trajectory optimization, Model validation, Real-time computing, Landing (Aeronautics), Mathematical models, Optimization algorithms, Aeronautical safety measures
Abstract: This paper presents a mathematical modeling framework for emergency aircraft landing trajectories, aimed at enhancing safety during time-critical situations. At the heart of this framework is a novel formulation of objective functions that capture the essential trade-offs involved in emergency descent planning. These functions are designed to minimize altitude loss and turning effort while ensuring alignment with the magnetic heading of a selected landing site. The descent trajectory is analytically segmented into four parts, defined by turn angles, radii, and segment lengths, and shaped according to aircraft performance constraints such as bank angle and vertical speed. The objective functions are integrated into a multi-objective optimization scheme to evaluate and compare candidate trajectories. Among various solvers tested, AGE-MOEA demonstrated the best real-time suitability, with a 98-millisecond response time and strong convergence performance, outperforming NSGA-II, which required 188 milliseconds. Simulation results validate that the proposed mathematical model, driven by the new objective functions, can effectively produce dynamically feasible and safe trajectories, significantly improving emergency landing outcomes. [ABSTRACT FROM AUTHOR]
Copyright of Engineering Letters is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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  Data: Aircraft Emergency Landing Areas Accessibility Analysis Using Multi-objective Optimization.
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  Data: <searchLink fieldCode="AR" term="%22Illi%2C+Adil%22">Illi, Adil</searchLink><relatesTo>1</relatesTo><i> a.illi.ced@uca.ac.ma</i><br /><searchLink fieldCode="AR" term="%22El+Guarmah%2C+El+Mahdi%22">El Guarmah, El Mahdi</searchLink><relatesTo>2</relatesTo><i> guarmah@gmail.com</i><br /><searchLink fieldCode="AR" term="%22El+Hadaj%2C+Salah%22">El Hadaj, Salah</searchLink><relatesTo>3</relatesTo><i> elhadajs@yahoo.fr</i><br /><searchLink fieldCode="AR" term="%22Bouzaachane%2C+Khadija%22">Bouzaachane, Khadija</searchLink><relatesTo>4</relatesTo><i> k.bouzaachane@uca.ac.ma</i>
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  Data: <searchLink fieldCode="JN" term="%22Engineering+Letters%22">Engineering Letters</searchLink>. May2026, Vol. 34 Issue 5, p1969-1977. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Multi-objective+optimization%22">Multi-objective optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Trajectory+optimization%22">Trajectory optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Model+validation%22">Model validation</searchLink><br /><searchLink fieldCode="DE" term="%22Real-time+computing%22">Real-time computing</searchLink><br /><searchLink fieldCode="DE" term="%22Landing+%28Aeronautics%29%22">Landing (Aeronautics)</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Aeronautical+safety+measures%22">Aeronautical safety measures</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper presents a mathematical modeling framework for emergency aircraft landing trajectories, aimed at enhancing safety during time-critical situations. At the heart of this framework is a novel formulation of objective functions that capture the essential trade-offs involved in emergency descent planning. These functions are designed to minimize altitude loss and turning effort while ensuring alignment with the magnetic heading of a selected landing site. The descent trajectory is analytically segmented into four parts, defined by turn angles, radii, and segment lengths, and shaped according to aircraft performance constraints such as bank angle and vertical speed. The objective functions are integrated into a multi-objective optimization scheme to evaluate and compare candidate trajectories. Among various solvers tested, AGE-MOEA demonstrated the best real-time suitability, with a 98-millisecond response time and strong convergence performance, outperforming NSGA-II, which required 188 milliseconds. Simulation results validate that the proposed mathematical model, driven by the new objective functions, can effectively produce dynamically feasible and safe trajectories, significantly improving emergency landing outcomes. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Engineering Letters is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 1969
    Subjects:
      – SubjectFull: Multi-objective optimization
        Type: general
      – SubjectFull: Trajectory optimization
        Type: general
      – SubjectFull: Model validation
        Type: general
      – SubjectFull: Real-time computing
        Type: general
      – SubjectFull: Landing (Aeronautics)
        Type: general
      – SubjectFull: Mathematical models
        Type: general
      – SubjectFull: Optimization algorithms
        Type: general
      – SubjectFull: Aeronautical safety measures
        Type: general
    Titles:
      – TitleFull: Aircraft Emergency Landing Areas Accessibility Analysis Using Multi-objective Optimization.
        Type: main
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          Name:
            NameFull: Illi, Adil
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            NameFull: El Guarmah, El Mahdi
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            NameFull: El Hadaj, Salah
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            NameFull: Bouzaachane, Khadija
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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            – TitleFull: Engineering Letters
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