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A Fuzzy Cluster Based Genetic Algorithm Approach for the Aircraft Landing Scheduling Problem

التفاصيل البيبلوغرافية
العنوان: A Fuzzy Cluster Based Genetic Algorithm Approach for the Aircraft Landing Scheduling Problem
المؤلفون: Yakup Çelikbilek
المصدر: İstanbul Gelişim Üniversitesi Sosyal Bilimler Dergisi, Vol 5, Iss 1, Pp 127-148 (2018)
بيانات النشر: Istanbul Gelisim University Press, 2018.
سنة النشر: 2018
المجموعة: LCC:Sociology (General)
LCC:Social sciences (General)
مصطلحات موضوعية: uçak i̇niş, planlama, çizelgeleme, bulanık küme, genetik algoritma, aircraft landing, scheduling, timetabling, fuzzy cluster, genetic algorithms, Sociology (General), HM401-1281, Social sciences (General), H1-99
الوصف: Aircraft Landing Scheduling (ALS) problem is one of the most important part of both aviation and air traffic control. The main objective of the problem is determining the landing time of the aircrafts with minimizing the penalty cost under some constraints. Each aircraft has an optimum target landing time based on their specialties related with fuel, airspeed and cost. Deviations from landing time targets increase the penalty cost of both the aircraft and the problem. In this paper, a fuzzy cluster based genetic algorithm approach is given for the solutions of ALS problems. An ALS benchmark, which contains up to 500 aircrafts and five runways, was obtained from OR–library to execute and evaluate the algorithm. Computational results of the proposed algorithm are given in detail and compared with the best results in the literature. The algorithm results show that it is very competitive and have good results when applied to the regarding problem.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: German
English
French
Russian
Turkish
تدمد: 2148-4287
2148-7189
Relation: https://dergipark.org.tr/tr/pub/igusbd/issue/33140/367106; https://doaj.org/toc/2148-4287; https://doaj.org/toc/2148-7189
DOI: 10.17336/igusbd.367106
URL الوصول: https://doaj.org/article/37d7195e903f43b68f0438b32fde8277
رقم الأكسشن: edsdoj.37d7195e903f43b68f0438b32fde8277
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:21484287
21487189
DOI:10.17336/igusbd.367106