Due to an anticipated increase in air traffic during the next decade, air traffic control in busy airports is one of the main challenging tasks to the controllers in the near future. Since the runway is often a bottleneck in an airport system, there is great interest in optimizing usage of the runway by applying the algorithms and various techniques. Sequencing and scheduling of aircraft landing at airports is a major issue in daily air traffic control (ATC) operations. Airports, especially busy airports, proved to be the bottleneck resources in the air traffic control system. Multi-agent System (MAS), a branch of artificial intelligence, has been applied to the air runway sequencing and scheduling problem. MAS have gained a tremendous popularity in the field of manufacturing system for machine scheduling but in the air landing field it’s limited. This book presents a Multi-agent System (MAS) framework for air runway sequencing and scheduling that handles the dynamic situations. The architecture of the system is developed and cooperation mechanisms of various agents are described.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Due to an anticipated increase in air traffic during the next decade, air traffic control in busy airports is one of the main challenging tasks to the controllers in the near future. Since the runway is often a bottleneck in an airport system, there is great interest in optimizing usage of the runway by applying the algorithms and various techniques. Sequencing and scheduling of aircraft landing at airports is a major issue in daily air traffic control (ATC) operations. Airports, especially busy airports, proved to be the bottleneck resources in the air traffic control system. Multi-agent System (MAS), a branch of artificial intelligence, has been applied to the air runway sequencing and scheduling problem. MAS have gained a tremendous popularity in the field of manufacturing system for machine scheduling but in the air landing field it's limited. This book presents a Multi-agent System (MAS) framework for air runway sequencing and scheduling that handles the dynamic situations. The architecture of the system is developed and cooperation mechanisms of various agents are described. 68 pp. Englisch. Codice articolo 9786204212562
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. Codice articolo 26404371963
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Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. Print on Demand. Codice articolo 409830948
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Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. PRINT ON DEMAND. Codice articolo 18404371953
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Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Verma Virendra KumarVirendra Kumar Verma received his B.Tech degree in Mechanical Engineering from Uttar Pradesh Technical University Lucknow in 2011 & M.Tech degree in Industrial Engineering from MNIT Jaipur in 2015. His active are. Codice articolo 527327247
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. Neuware -Due to an anticipated increase in air traffic during the next decade, air traffic control in busy airports is one of the main challenging tasks to the controllers in the near future. Since the runway is often a bottleneck in an airport system, there is great interest in optimizing usage of the runway by applying the algorithms and various techniques. Sequencing and scheduling of aircraft landing at airports is a major issue in daily air traffic control (ATC) operations. Airports, especially busy airports, proved to be the bottleneck resources in the air traffic control system. Multi-agent System (MAS), a branch of artificial intelligence, has been applied to the air runway sequencing and scheduling problem. MAS have gained a tremendous popularity in the field of manufacturing system for machine scheduling but in the air landing field it¿s limited. This book presents a Multi-agent System (MAS) framework for air runway sequencing and scheduling that handles the dynamic situations. The architecture of the system is developed and cooperation mechanisms of various agents are described.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch. Codice articolo 9786204212562
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Due to an anticipated increase in air traffic during the next decade, air traffic control in busy airports is one of the main challenging tasks to the controllers in the near future. Since the runway is often a bottleneck in an airport system, there is great interest in optimizing usage of the runway by applying the algorithms and various techniques. Sequencing and scheduling of aircraft landing at airports is a major issue in daily air traffic control (ATC) operations. Airports, especially busy airports, proved to be the bottleneck resources in the air traffic control system. Multi-agent System (MAS), a branch of artificial intelligence, has been applied to the air runway sequencing and scheduling problem. MAS have gained a tremendous popularity in the field of manufacturing system for machine scheduling but in the air landing field it's limited. This book presents a Multi-agent System (MAS) framework for air runway sequencing and scheduling that handles the dynamic situations. The architecture of the system is developed and cooperation mechanisms of various agents are described. Codice articolo 9786204212562
Quantità: 1 disponibili
Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Multi-Agent System for Air Runway Sequencing and Scheduling | Development of Multi-Agent System for Air Runway Sequencing and Scheduling Problem | Virendra Kumar Verma | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204212562 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 120807630
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