A novel approach for automated land partitioning using genetic algorithm

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dc.contributor.authorHakli, Huseyin
dc.contributor.authorUguz, Harun
dc.date.accessioned2020-03-26T19:33:34Z
dc.date.available2020-03-26T19:33:34Z
dc.date.issued2017
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractLand consolidation is an important tool to prevent land fragmentation and enhance agricultural productivity. Land partitioning is one of the most significant problems within the land consolidation process. This process is related to the subdivision of a block having non-uniform geometric shapes. Land partitioning determines the location of new land parcels and is a complex problem containing many conflicting demands, so conventional programming techniques are not sufficient for this NP optimization problem. Therefore, it is necessary to have an intelligent system with a standard decision-making mechanism capable of processing many criteria simultaneously and evaluating a number of different solutions in a short time. To overcome this problem and accelerate the land partitioning process, we proposed automated land partitioning using a genetic algorithm (ALP-GA). Besides the parcel's size, shape and land value, the proposed method evaluates fixed facilities, and the degree and location of cadastral parcels to generate a land partitioning plan. The proposed method automated the land partitioning process using an intelligent system and was implemented over a real project area, Experimental study shows that the proposed method is more successful and efficient than the designer with respect to the results meeting the objective function. In addition, the land partition process is greatly simplified by the proposed method. (C) 2017 Elsevier Ltd. All rights reserved.en_US
dc.description.sponsorshipScientific Research Project of Selcuk UniversitySelcuk University; Scientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [2140015]en_US
dc.description.sponsorshipThis study has been supported by the Scientific Research Project of Selcuk University and is Project No. 2140015 of the Scientific and Technological Research Council of Turkey (TUBITAK).en_US
dc.identifier.doi10.1016/j.eswa.2017.03.067en_US
dc.identifier.endpage18en_US
dc.identifier.issn0957-4174en_US
dc.identifier.issn1873-6793en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage10en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.eswa.2017.03.067
dc.identifier.urihttps://hdl.handle.net/20.500.12395/34742
dc.identifier.volume82en_US
dc.identifier.wosWOS:000402213800002en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPERGAMON-ELSEVIER SCIENCE LTDen_US
dc.relation.ispartofEXPERT SYSTEMS WITH APPLICATIONSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectGenetic algorithmen_US
dc.subjectAutomated land partitioningen_US
dc.subjectOptimizationen_US
dc.subjectLand consolidationen_US
dc.titleA novel approach for automated land partitioning using genetic algorithmen_US
dc.typeArticleen_US

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