Modeling and optimization of air traffic / Daniel Delahaye, Stéphane Puechmorel.

Format:

Book

Author/Creator:

Delahaye, Daniel.

Contributor:

Puechmorel, Stéphane.

Series:

ISTE

Computer engineering series

Language:

English

Subjects (All):

Air traffic control--Mathematical models.

Air traffic control.

Physical Description:

1 online resource (338 p.)

Edition:

1st ed.

Place of Publication:

London : ISTE ; Hoboken, N.J. : Wiley, c2013.

Language Note:

English

Summary:

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 throug

Contents:

Title Page; Contents; Introduction; Part 1: Optimization and Artificial Evolution; Chapter 1: Optimization: State of the Art; 1.1. Methodological principles in optimization; 1.1.1. Introduction; 1.1.2. Modeling; 1.1.3. Complexity; 1.1.4. Computation time; 1.1.5. Conclusion; 1.2. Optimization algorithms; 1.2.1. Introduction; 1.2.2. Linear programming; 1.2.3. Nonlinear programming (NLP); 1.2.4. Local methods subject to constraints; 1.2.5. Deterministic global methods; 1.2.6. Stochastic global methods; 1.2.7. Genetic algorithms; 1.2.8. Conclusion; Chapter 2: Genetic Algorithms and Improvements

2.1. General points2.1.1. Introduction; 2.1.2. Principle of genetic algorithms; 2.1.3. Coding principles; 2.1.4. Random generation of the initial population; 2.1.5. Crossover operators; 2.1.6. Mutation operators; 2.1.7. Selection principles; 2.2. Classic improvements; 2.2.1. Scaling; 2.2.2. Sharing; 2.2.3. Crowding; 2.2.4. Memetic algorithms; 2.2.5. Multi-objective genetic algorithms; 2.3. Our contributions; 2.3.1. Adaptive clustered sharing; 2.3.2. Association of genetic algorithms with simulated annealing; 2.3.3. Parallel genetic algorithms; 2.4. Conclusion

Chapter 3: A New Concept for Genetic Algorithms Based on Order Statistics3.1. Introduction; 3.2. Order statistics; 3.3. Estimating the probability that the global optimum belongs to a given domain; 3.4. Genetic algorithms and order statistics; 3.4.1. Introduction; 3.4.2. Coding; 3.4.3. Recombination operators; 3.4.4. Evaluation of fitness; 3.5. Application to test functions; 3.5.1. Results for the Griewank function; 3.5.2. Results for the Rosenbrook function; 3.5.3. Results for the Lennard-Jones function; 3.6. Conclusion; Part 2: Applications to Air Traffic Control

Chapter 4: Air Traffic ControlChapter 5: Contributions to Airspace Sectorization; 5.1. Introduction; 5.2. Modeling in 2D; 5.2.1. Model based on a transportation network; 5.2.2. Associated complexity; 5.3. Continuous modeling; 5.3.1. Principle; 5.3.2. Chromosome coding; 5.3.3. Initial population generation principle; 5.3.4. Crossover operator; 5.3.5. Mutation operator; 5.3.6. Calculation and normalization of the fitness function; 5.3.7. Results; 5.3.8. Conclusion; 5.4. Discrete modeling; 5.4.1. Principle; 5.4.2. Coding; 5.4.3. Recombination operators; 5.4.4. Results; 5.4.5. Conclusion

5.5. 3D extension5.5.1. Introduction; 5.5.2. Mathematical modeling; 5.5.3. Application of artificial evolution to the problem; 5.5.4. Results; 5.5.5. Conclusion; 5.6. Accounting for the dynamic aspect; 5.6.1. Formalization of objectives and associated mathematical model; 5.6.2. Optimization using a genetic algorithm: continuous approach; 5.6.3. Optimization using a genetic algorithm: discreteapproach; Chapter 6: Contribution to Traffic Assignment; 6.1. Summary of traffic assignment methods based ontransportation network theory; 6.1.1. Transportation networks; 6.1.2. Static assignment

6.1.3. Dynamic assignment

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Description based on online resource; title from title page (ebrary, viewed July 25, 2013).

ISBN:

9781118743713

1118743717

9781118743805

1118743806

9781118743768

1118743768

OCLC:

852758619