Ant colony optimization approach for estimating tourism receipts and expenditures: The case of Turkey

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dc.contributor.authorDuran Toksari M.
dc.contributor.authorToksari M.
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2009
dc.departmentNiğde ÖHÜ
dc.description.abstractThe present study develops two forms to estimate tourism receipts and expenditures to Turkey based on ant colony optimization (ACO) approach. ACO approach is first used to estimate tourism receipts and expenditures. Tourism has become one of the largest and most rapidly growing sectors in the world economy during the second half of the 20th century. So forecasting correctly tourism receipts and expenditures is vital for economics. ACO is a multiagent system in which the behavior of each ant is inspired by the foraging behavior of real ants to solve an optimization problem. Ant Colony Optimization Tourism Receipt Estimation (ACOTRE) model uses the gross national product (GNP), balance of receipt - expenditure, rate of tourism receipts in the export earnings, and average expenditure per foreigner. Furthermore, Ant Colony Optimization Tourism Expenditure Estimation (ACOTEE) model uses the GNP, balance of receipt - expenditure, rate of tourism expenditure in the import earnings, and average expenditure per citizen. Linear and quadratic forms of both ACOTRE and ACOTEE are proposed and quadratic models of both provided better fit solution. The proposed models can be used as an alternative solution for estimating tourism receipts to any country. The ACOTRE and ACOTEE models plan the tourism receipts to Turkey until 2025 under some scenarios. © 2009 Cognizant Comm. Corp.
dc.identifier.doi10.3727/108354209X12597959359293
dc.identifier.endpage663
dc.identifier.issn1083-5423
dc.identifier.issue5
dc.identifier.scopus2-s2.0-84869039289
dc.identifier.scopusqualityQ3
dc.identifier.startpage651
dc.identifier.urihttps://dx.doi.org/10.3727/108354209X12597959359293
dc.identifier.urihttps://hdl.handle.net/11480/1103
dc.identifier.volume14
dc.identifier.wosWOS:000213815600007
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.publisherCognizant Communication Corporation
dc.relation.ispartofTourism Analysis
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAnt colony optimization
dc.subjectForecasting
dc.subjectModeling
dc.subjectTourism forecast
dc.subjectTurkey
dc.titleAnt colony optimization approach for estimating tourism receipts and expenditures: The case of Turkey
dc.typeArticle

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