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A genetic algorithm approach for aircraft landing problem

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dc.contributor.authorsPasali B., Ulvi M., Bulkan S., Cil I.
dc.date.accessioned2022-03-28T15:03:51Z
dc.date.accessioned2026-01-11T19:21:26Z
dc.date.available2022-03-28T15:03:51Z
dc.date.issued2014
dc.description.abstractAir traffic is growing at the recent years but there is a little change at the number of airports and runways. For this reason, Air Navigation Service Providers are forced to improve the efficiency of the airports. Building new airports is not a solution; one of the ways to improve efficiency is optimizing aircraft scheduling. Optimum aircraft scheduling brings too many benefits that are minimizing the number of late aircrafts, maximizing airport capacity, decreasing the workforce of air traffic controller, decreasing air pollution and fuel consumption.
dc.identifier.urihttps://hdl.handle.net/11424/256974
dc.language.isoeng
dc.publisherComputers and Industrial Engineering
dc.relation.ispartofCIE 2014 - 44th International Conference on Computers and Industrial Engineering and IMSS 2014 - 9th International Symposium on Intelligent Manufacturing and Service Systems, Joint International Symposium on "The Social Impacts of Developments in Information, Manufacturing and Service Systems" - Proceedings
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAircraft
dc.subjectAviation
dc.subjectGenetic algorithm
dc.subjectScheduling
dc.titleA genetic algorithm approach for aircraft landing problem
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage1427
oaire.citation.startPage1419
oaire.citation.titleCIE 2014 - 44th International Conference on Computers and Industrial Engineering and IMSS 2014 - 9th International Symposium on Intelligent Manufacturing and Service Systems, Joint International Symposium on "The Social Impacts of Developments in Information, Manufacturing and Service Systems" - Proceedings

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