This book combines the research activities of the authors, bothof whom are researchers at Ecole Nationale de l'AviationCivile (French National School of Civil Aviation), and presentstheir findings from the last 15 years. Their work uses airtransport as its focal point, within the realm of mathematicaloptimization, looking at real life problems and theoretical modelsin tandem, and the challenges that accompany studying bothapproaches.
The authors' research is linked with the attempt to reduceair 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 airspacecongestion.
Finally, the authors discuss their short, medium and long termresearch goals. They hope that their work, although related to airtransport, will be applied to other fields, such is thetransferable nature of mathematical optimization. At the same time,they intend to use other areas of research, such as approximationand statistics to complement their continued inquiry in their ownfield.
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 OrderStatistics.
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'AviationCivile (French National School of Civil Aviation) in France.
Stéphane Puechmorel works for Ecole Nationale del'Aviation Civile (French National School of Civil Aviation)in France.
Daniel Delahaye
Aeronautic & Aerospace Engineering Electrical & Electronics Engineering Elektrotechnik u. Elektronik Luft- u. Raumfahrttechnik Maschinenbau Mechanical Engineering Numerical Methods & Algorithms Numerische Methoden u. Algorithmen Numerisches Verfahren