Aircraft Landing Scheduling Using Embedded Flower Pollination Algorithm
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Aircraft Landing Scheduling Using Embedded Flower Pollination Algorithm Ayman A. Ataher Mahmud1 · Satakshi1 · W. Jeberson1 Received: 25 May 2018 / Accepted: 17 September 2018 © Springer Science+Business Media, LLC, part of Springer Nature 2018
Abstract Aircraft landing scheduling is an imperative issue in the air traffic management, that aims to decide the best allocation considering the landing time for assigning to a sequence with limit the aggregate of the deviation of the actual as well as target landing time under the safe landing condition. The traditional algorithms have certain deficiencies for discrete optimizations. This paper renders an embedded flower pollination algorithm (EFPA) for aircraft landing schedule. The aircraft are classified relying on the class of each aircraft, small, large as well as heavy. Considering every single aircraft classes, runway occupation profile, landing time and separation time computation are done. EFPA is used to schedule the arrival of the airplanes. Context cognitive learning and runway balance methodology are contrived to upgrade the searching ability. The various experimental analysis and outcomes reveal that the proposed EFPA outperforms the other existing strategies when compared. Keywords Aircraft landing scheduling · Embedded flower pollination algorithm · Landing time · Separation time · Runway occupation profile · Runway balance strategy
1 Introduction With the swift globalization in economies, the aviation business has assumed an imperative part of social and economic frameworks [1]. Air transport has turned into the crucial means of transportation for individual and business voyaging and busi-
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Ayman A. Ataher Mahmud [email protected] Satakshi [email protected] W. Jeberson [email protected]
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SHUATS, Allahabad, India
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International Journal of Parallel Programming
ness delivery, in this way the request of air transportation is expanded for numerous purposes. The increment in the number of aircraft departures and arrivals, within a specified time period, at certain airport causes risky air traffic [2]. Over the preceding few years, air transport has encountered expanded rivalry. These circumstances require airline companies to enhance their frameworks keeping in mind that the ultimate goal is to advance the planning of aircraft maintenance [3]. The test lies in simultaneously accomplishing safety, productivity, and equity which are regularly contending goals [4]. As a result of the limited space for further infrastructural expansion, the process of ameliorating the productivity of ATM winds up for the aviation business to adapt to the normal request surge [5]. Due to this, the airline companies are required to improve their frameworks. Numerous researchers distinguish airport as the bottlenecks of the air transport frameworks, where an applicable offer of the delays is frequently created by a wasteful management of the runway restrictions [6]. The airline business works in a strongly competitive environment where aircraft compani
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