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Autor(en): 
  • Daniel Delahaye
  • Stéphane Puechmorel
  • Modeling and Optimization of Air Traffic 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juni 2013  
    Genre:  EDV / Informatik 
     
    Aeronautic & Aerospace Engineering / Electrical & Electronics Engineering / Elektrotechnik u. Elektronik / Luft- u. Raumfahrttechnik / Maschinenbau / Mechanical Engineering / Numerical Methods & Algorithms / Numerische Methoden u. Algorithmen / Numerisches Verfahren
    ISBN:  9781848215955 
    EAN-Code: 
    9781848215955 
    Verlag:  Wiley 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 233 mm / B 163 mm / D 19 mm 
    Gewicht:  590 gr 
    Seiten:  346 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book combines the research activities of the authors, both of whom are researchers at Ecole Nationale de l'Aviation Civile (French National School of Civil Aviation), and presents their findings from the last 15 years. Their work uses air transport as its focal point, within the realm of mathematical optimization, looking at real life problems and theoretical models in tandem, and the challenges that accompany studying both approaches. The authors' research is linked with the attempt to reduce air space congestion in Western Europe, USA and, increasingly, Asia. They do this through studying stochastic optimization (particularly artificial evolution), the sectorization of airspace, route distribution and takeoff slots, and by modeling airspace congestion. Finally, the authors discuss their short, medium and long term research goals. They hope that their work, although related to air transport, will be applied to other fields, such is the transferable nature of mathematical optimization. At the same time, they intend to use other areas of research, such as approximation and statistics to complement their continued inquiry in their own field. Contents 1. Introduction. Part 1. Optimization and Artificial Evolution 2. Optimization: State of the Art. 3. Genetic Algorithms and Improvements. 4. A new concept for Genetic Algorithms based on Order Statistics. Part 2. Applications to Air Traffic Control 5. Air Traffic Control. 6. Contributions to Airspace Sectorization. 7. Contribution to Traffic Assignment. 8. Airspace Congestion Metrics. 9. Conclusion and Future Perspectives. About the Authors Daniel Delahaye works for Ecole Nationale de l'Aviation Civile (French National School of Civil Aviation) in France. Stéphane Puechmorel works for Ecole Nationale de l'Aviation Civile (French National School of Civil Aviation) in France.

      



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