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Author: Daniel Delahaye
Publisher: John Wiley & Sons
ISBN: 1118743717
Category : Computers
Languages : en
Pages : 191
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Book 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 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.
Author: Daniel Delahaye
Publisher: John Wiley & Sons
ISBN: 1118743717
Category : Computers
Languages : en
Pages : 191
Get Book
Book 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 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.
Author: Lucio Bianco
Publisher: Springer Science & Business Media
ISBN: 3642608361
Category : Business & Economics
Languages : en
Pages : 208
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Book Description
Dealing with a wide range of topics and covering different aspects of current importance in ATM, the papers place particular emphasis on automation and application of mathematical models and computational algorithms for ATM systems. The volume thus offers readers a summary of recent progress in such important areas as new operational concepts for automated ATM, evolution of traffic characteristics, ground-holding algorithms, ATC simulation facilities and a number of other aspects of ATC flow management.
Author: Saleh A. Mumayiz
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 318
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Book Description
&Quot;This proceedings contains 31 papers from the International Conference on Airport Modeling and Simulation held on August 17-20, 1997, in Arlington, Virginia. The papers cover many areas of aviation simulation and modeling, including air traffic management, airport ground traffic, terminal design and operations, planning, forecasting, financing, and environmental studies."--BOOK JACKET.
Author: Electronic Navigation Research Institute
Publisher: Springer
ISBN: 4431564233
Category : Technology & Engineering
Languages : en
Pages : 252
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Book Description
This book is a compilation of selected papers from the 4th ENRI International Workshop on ATM/CNS (EIWAC2015). The work focuses on novel techniques for aviation infrastructure in air traffic management (ATM) and communications, navigation, surveillance, and informatics (CNSI) domains. The contents make valuable contributions to academic researchers, engineers in the industry, and regulators of aviation authorities. As well, readers will encounter new ideas for realizing a more efficient and safer aviation system.
Author: Nicolas Durand
Publisher: John Wiley & Sons
ISBN: 111926152X
Category : Computers
Languages : en
Pages : 214
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Book Description
Air Traffic Management involves many different services such as Airspace Management, Air Traffic Flow Management and Air Traffic Control. Many optimization problems arise from these topics and they generally involve different kinds of variables, constraints, uncertainties. Metaheuristics are often good candidates to solve these problems. The book models various complex Air Traffic Management problems such as airport taxiing, departure slot allocation, en route conflict resolution, airspace and route design. The authors detail the operational context and state of art for each problem. They introduce different approaches using metaheuristics to solve these problems and when possible, compare their performances to existing approaches
Author: Mirosław Siergiejczyk
Publisher: Springer Nature
ISBN: 3030276872
Category : Technology & Engineering
Languages : en
Pages : 494
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Book Description
The book is dedicated as an auxiliary literature for academic staff of universities, research institutes, as well as for students of transport teaching. The aim of the conference was to present the achievements of national and foreign research and scientific centers dealing with the issues of rail, road, air and sea transport in technical and technological aspects, as well as organization and integration of the environment conducting research and education in the discipline of civil engineering and transport. International Scientific Conference Transport of the 21st Century was held in Ryn, Poland, in the 9th–12th of June 2019. The research areas of the conference were as follows: • transport infrastructure and communication engineering, • construction and operation of means of transport, • logistics engineering and transport technology, • organization and planning of transport, including public transport, • traffic control systems in transport, • transport telematics and intelligent transportation systems, • smart city and electromobility, • safety engineering and ecology in transport, • automation of means of transport. It also used by specialists from central and local government authorities in the area of deepening knowledge of modern technologies and solutions used for planning, managing and operating transport.
Author: Lionel Amodeo
Publisher: Springer
ISBN: 3319582534
Category : Business & Economics
Languages : en
Pages : 496
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Book Description
This book highlights state-of-the-art developments in metaheuristics research. It examines all aspects of metaheuristic research including new algorithmic developments, applications, new research challenges, theoretical developments, implementation issues, in-depth experimental studies. The book is divided into two sections. Part I is focused on new optimization and modeling techniques based on metaheuristics. The chapters in this section cover topics from multi-objective problems with fuzzy data with triangular-valued objective functions, to hyper-heuristics optimization methodology, designing genetic algorithms, and also the cuckoo search algorithm. The techniques described help to enhance the usability and increase the potential of metaheuristic algorithms. Part II showcases advanced metaheuristic approaches to solve real-life applications issues. This includes an examination of scheduling, the vehicle routing problem, multimedia sensor network, supplier selection, bin packing, objects tracking, and radio frequency identification. In the fields covered in the chapters are of high-impact applications of metaheuristics. The chapters offer innovative applications of metaheuristics that have a potential of widening research frontiers. Altogether, this book offers a comprehensive look at how researchers are currently using metaheuristics in different domains of design and application.
Author: Weigang, Li
Publisher: IGI Global
ISBN: 160566801X
Category : Computers
Languages : en
Pages : 392
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Book Description
"This book disseminates knowledge on modern information technology applications in air transportation useful to professionals, researchers, and academicians"--Provided by publisher.
Author: Anzhela Borzova
Publisher: Springer Nature
ISBN: 9811962383
Category : Technology & Engineering
Languages : en
Pages : 190
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Book Description
This book highlights issues related to the organization and improvement of the efficiency of training system in technical operation of radio-electronic equipment currently used in civil aviation. The increasing intensity of air traffic around the world leads to a quantitative increase in old problems and the emergence of qualitatively new ones that can only be solved by trained people, whose training process should be carried out on a systematic basis. Modern approaches to improving the human resources potential of civil aviation, as a rule, are based only on modernizing the management mechanisms of the training system. One of the main advantages of this book is the unique integrated approach to building a system for training aviation personnel in the field of technical operation of radio-electronic equipment and air traffic control, which consists in taking into account various factors that affect the training of specialists, promising areas of development of civil aviation based on the analysis of various guidance documents and the construction of mathematical models that give a qualitative assessment of existing methods and the proposed new methodology. The book contains a large amount of visual illustrative material showing the existing structure of the system of training in the field of civil aviation.
Author: Miguel Mujica Mota
Publisher: Springer
ISBN: 3319558102
Category : Computers
Languages : en
Pages : 282
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Book Description
Building on the author’s earlier Applied Simulation and Optimization, this book presents novel methods for solving problems in industry, based on hybrid simulation-optimization approaches that combine the advantages of both paradigms. The book serves as a comprehensive guide to tackling scheduling, routing problems, resource allocations and other issues in industrial environments, the service industry, production processes, or supply chains and aviation. Logistics, manufacturing and operational problems can either be modelled using optimization techniques or approaches based on simulation methodologies. Optimization techniques have the advantage of performing efficiently when the problems are properly defined, but they are often developed through rigid representations that do not include or accurately represent the stochasticity inherent in real systems. Furthermore, important information is lost during the abstraction process to fit each problem into the optimization technique. On the other hand, simulation approaches possess high description levels, but the optimization is generally performed through sampling of all the possible configurations of the system. The methods explored in this book are of use to researchers and practising engineers in fields ranging from supply chains to the aviation industry.
