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Dynamics of Large Structures and Inverse Problems

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Civil Engineering Structures According to the Eurocodes

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Swelling Concrete in Dams and Hydraulic Structures

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Earthquake Occurrence

Short- and Long-term Models and their Validation

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The Chemostat

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From Prognostics and Health Systems Management to Predictive Maintenance 2

Knowledge, Traceability and Decision

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First Hitting Time Regression Models

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The Innovative Company

An Ill-defined Object

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Reading and Writing Knowledge in Scientific Communities

Digital Humanities and Knowledge Construction

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Going Past Limits To Growth

A Report to the Club of Rome EU-Chapter

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Modeling and Optimization of Air Traffic

Daniel Delahaye and Stéphane Puechmorel, Ecole Nationale de l’Aviation Civile (French National School of Civil Aviation), France

ISBN: 9781848215955

Publication Date: June 2013   Hardback   352 pp.

135.00 USD


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Description

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 take-off 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

Part 1. Optimization and Artificial Evolution
1. Optimization: State of the Art.
2. Genetic Algorithms and Improvements.
3. A New Concept for Genetic Algorithms Based on Order Statistics.
Part 2. Applications to Air Traffic Control
4. Air Traffic Control.
5. Contributions to Airspace Sectorization.
6. Contribution to Traffic Assignment.
7. Airspace Congestion Metrics.

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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