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Three different applications of genetic algorithm (GA) search techniques on oil demand estimation

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dc.contributor.author Canyurt, O.E.
dc.contributor.author Öztürk, H.K.
dc.date.accessioned 2019-08-16T11:34:20Z
dc.date.available 2019-08-16T11:34:20Z
dc.date.issued 2006
dc.identifier.issn 01968904 (ISSN)
dc.identifier.uri http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/4478
dc.description.abstract This present study develops three scenarios to analyze oil consumption and make future projections based on the Genetic algorithm (GA) notion, and examines the effect of the design parameters on the oil utilization values. The models developed in the non-linear form are applied to the oil demand of Turkey. The GA Oil Demand Estimation Model (GAODEM) is developed to estimate the future oil demand values based on Gross National Product (GNP), population, import, export, oil production, oil import and car, truck and bus sales figures. Among these models, the GA-PGOiTI model, which uses population, GNP, oil import, truck sales and import as design parameters/indicators, was found to provide the best fit solution with the observed data. It may be concluded that the proposed models can be used as alternative solution and estimation techniques for the future oil utilization values of any country. © 2006 Elsevier Ltd. All rights reserved.
dc.language.iso English
dc.relation.isversionof 10.1016/j.enconman.2006.03.009
dc.subject Future projections
dc.subject Genetic algorithm
dc.subject Oil consumption
dc.subject Oil demand
dc.subject Oil planning
dc.subject Oil policy
dc.subject Turkey
dc.subject Estimation
dc.subject Fuel consumption
dc.subject Ground vehicles
dc.subject International trade
dc.subject Mathematical models
dc.subject Population statistics
dc.subject Problem solving
dc.subject Production control
dc.subject Genetic algorithms
dc.title Three different applications of genetic algorithm (GA) search techniques on oil demand estimation
dc.type Article
dc.relation.journal Energy Conversion and Management
dc.identifier.volume 47
dc.identifier.issue 18-19
dc.identifier.startpage 3138
dc.identifier.endpage 3148
dc.identifier.index Scopus


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