Synopsis
Over the last 70 years, airlines have developed from basic contract mail carriers to complex corporations. The present airline industry is very competitive and dynamic. The real-time solution of large-scale optimization models has had a considerable impact on the aviation sector today. Finding an ideal schedule for aircraft landings is becoming increasingly difficult. Airlines have had a difficult time designing an aircraft schedule, that is, the timetable and corresponding personnel on each flight leg, to fit shifting passenger demand. Each aircraft's landing time must fall within a time interval that includes a target landing time. This study provides two scheduling strategies for resolving the aircraft landing problem: (i) A Dynamic Aircraft scheduling method using optimized First Come First Serve (FCFS) centered on Krill Herd Optimization Algorithm (ii) An Optimized Entropy-based scheduling technique using optimized FCFS centered on Cuckoo Search Optimization Algorithm. The proposed scheduling technique was compared with an existing memetic algorithm in terms of computational time, CPU time, target deviation, and scheduling.
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Dynamic Scheduling Strategy to solve Aircraft Landing Problem
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Over the last 70 years, airlines have developed from basic contract mail carriers to complex corporations. The present airline industry is very competitive and dynamic. The real-time solution of large-scale optimization models has had a considerable impact on the aviation sector today. Finding an ideal schedule for aircraft landings is becoming increasingly difficult. Airlines have had a difficult time designing an aircraft schedule, that is, the timetable and corresponding personnel on each flight leg, to fit shifting passenger demand. Each aircraft's landing time must fall within a time interval that includes a target landing time. This study provides two scheduling strategies for resolving the aircraft landing problem: (i) A Dynamic Aircraft scheduling method using optimized First Come First Serve (FCFS) centered on Krill Herd Optimization Algorithm (ii) An Optimized Entropy-based scheduling technique using optimized FCFS centered on Cuckoo Search Optimization Algorithm. The proposed scheduling technique was compared with an existing memetic algorithm in terms of computational time, CPU time, target deviation, and scheduling. 136 pp. Englisch. Seller Inventory # 9786204983523
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Dynamic Scheduling Strategy to solve Aircraft Landing Problem
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Over the last 70 years, airlines have developed from basic contract mail carriers to complex corporations. The present airline industry is very competitive and dynamic. The real-time solution of large-scale optimization models has had a considerable impact . Seller Inventory # 666651227
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Dynamic Scheduling Strategy to solve Aircraft Landing Problem
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Taschenbuch. Condition: Neu. Dynamic Scheduling Strategy to solve Aircraft Landing Problem | Ayman Almabruk A. M. (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204983523 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 122465021
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Dynamic Scheduling Strategy to solve Aircraft Landing Problem
Published by
LAP LAMBERT Academic Publishing Jul 2022, 2022
ISBN 10: 6204983520
ISBN 13: 9786204983523
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Over the last 70 years, airlines have developed from basic contract mail carriers to complex corporations. The present airline industry is very competitive and dynamic. The real-time solution of large-scale optimization models has had a considerable impact on the aviation sector today. Finding an ideal schedule for aircraft landings is becoming increasingly difficult. Airlines have had a difficult time designing an aircraft schedule, that is, the timetable and corresponding personnel on each flight leg, to fit shifting passenger demand. Each aircraft's landing time must fall within a time interval that includes a target landing time. This study provides two scheduling strategies for resolving the aircraft landing problem: (i) A Dynamic Aircraft scheduling method using optimized First Come First Serve (FCFS) centered on Krill Herd Optimization Algorithm (ii) An Optimized Entropy-based scheduling technique using optimized FCFS centered on Cuckoo Search Optimization Algorithm. The proposed scheduling technique was compared with an existing memetic algorithm in terms of computational time, CPU time, target deviation, and scheduling.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 136 pp. Englisch. Seller Inventory # 9786204983523
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Dynamic Scheduling Strategy to solve Aircraft Landing Problem
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204983520
ISBN 13: 9786204983523
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Over the last 70 years, airlines have developed from basic contract mail carriers to complex corporations. The present airline industry is very competitive and dynamic. The real-time solution of large-scale optimization models has had a considerable impact on the aviation sector today. Finding an ideal schedule for aircraft landings is becoming increasingly difficult. Airlines have had a difficult time designing an aircraft schedule, that is, the timetable and corresponding personnel on each flight leg, to fit shifting passenger demand. Each aircraft's landing time must fall within a time interval that includes a target landing time. This study provides two scheduling strategies for resolving the aircraft landing problem: (i) A Dynamic Aircraft scheduling method using optimized First Come First Serve (FCFS) centered on Krill Herd Optimization Algorithm (ii) An Optimized Entropy-based scheduling technique using optimized FCFS centered on Cuckoo Search Optimization Algorithm. The proposed scheduling technique was compared with an existing memetic algorithm in terms of computational time, CPU time, target deviation, and scheduling. Seller Inventory # 9786204983523
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