Crew Scheduling Optimization with Artificial Bee Colony Algorithm

dc.contributor.author	Sardoğan, Melike
dc.contributor.author	Tuncer, Adem
dc.date.accessioned	2022-12-28T19:50:28Z
dc.date.available	2022-12-28T19:50:28Z
dc.date.issued	2017-10-19
dc.description.abstract	Crew scheduling is one of the most important optimization problems for airline companies. It is the scheduling of weekly or monthly work schedule under certain constraints, such as working hours and weekly permits. There are many studies using analytical and heuristic approaches in the literature in order to solve this problem. In studies using heuristic approaches, genetic algorithms are used frequently. In this study, an artificial bee colony algorithm, which is a heuristic method, is used instead of the approaches applied to the current problem. Weekly work schedules are optimized according to daily working hours and days off for crew scheduling under a number of different personnel. From the simulation results, it is clearly seen that the artificial bee colony algorithm produces successful results within reasonable time.	tr_TR
dc.identifier.isbn	978-605-82017-0-5
dc.identifier.uri	http://dspace.yalova.edu.tr/handle/1/676
dc.language.iso	en	tr_TR
dc.publisher	8th International Advanced Technologies Symposium (IATS’17)	tr_TR
dc.subject	artificial bee colony	tr_TR
dc.subject	crew scheduling	tr_TR
dc.subject	optimization	tr_TR
dc.title	Crew Scheduling Optimization with Artificial Bee Colony Algorithm	tr_TR
dc.type	Other	tr_TR

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