A Model of Automatic Block Reallocation in the Land Consolidation Projects Using Artificial Bee Colony Algorithm
Öz
Equitably reallocating of blocks among land owners has been one of the most important tasks in Land Consolidation studies. This task has to be fairly solved among landholdings for a land. This complicated problem is difficult to solve using linear methods. Therefore, a method is needed to solve this non-linear problem among land owners impartially. There are many applications employing optimization algorithms for solving the complicated and non-linear problems in literature. When we examine the literature, it is seen that Genetic Algorithm has been only used to overcome the block reallocation problem. Artificial Bee Colony (ABC) algorithm is one of the optimization algorithms that have been used to solve the non-linear and complicated problems in literature. Furthermore, this method has better performance when it is compared with the other optimization algorithms. In this study, we have aimed to fairly reallocate the landholding areas to blocks in a land by developing an algorithm using Artificial Bee Colony optimization method. When we develop the steps of the algorithm, we give priority to landholdings preferences and places of fixed installations. Data tables have been arranged by taking land consolidation data of DOT Village in Adiyaman, Turkey that into consideration. DOT Village land consolidation project includes 143 blocks and 225 landholders. Consequently, we have introduced the steps of an algorithm solving the block reallocation problem automatically using ABC for a sample land. Also, we have observed the applicability of the proposed method for automatic block reallocation problem in this study. This study is a preliminary study helping us to develop software providing to automatically solve complicated block reallocation problem in real time land consolidation process.
Anahtar Kelimeler
Kaynakça
- [1] D. Demetriou, J. Stillwell, L. See, Land consolidation in Cyprus: Why is an Integrated Planning and Decision Support System required?, Land use policy. 29 (2012) 131–142. doi:10.1016/j.landusepol.2011.05.012.
- [2] S.T. Akkaya Aslan, K.S. Gundogdu, E. Yaslioglu, M. Kirmikil, I. Arici, Personal, physical and socioeconomic factors affecting farmers’ adoption of land consolidation, Spanish J. Agric. Res. 5 (2007) 204–213.
- [3] A.K. Yaldir, T. Rehman, A methodology for constructing multicriteria decision support systems for agricultural land consolidation using GIS and API: An illustration from Turkey, Comput. Electron. Agric. 36 (2002) 55–78. doi:10.1016/S0168-1699(02)00103-5.
- [4] J. Tourino, F.F. Rivera, C. Alvarez, COPA: a GIS-based Tool for Land Consolidation Projects, içinde: W.G. Aref (Ed.), Assoc. Comput. Mach. 1515 Broadw., New York, 2001: s. 9.
- [5] T. Çay, Y. İnceyol, A. Özbeyaz, A Preliminary Study for Design of Automatic Block Reallocation Algorithm with Genetic Algorithm Method in the Land Consolidation Projects, Int. J. Environ. Chem. Ecol. Geol. Geophys. Eng. 9 (2015) 903–908. scholar.waset.org/1999.6/10002303.
- [6] M. Uyan, T. Cay, Y. Inceyol, H. Hakli, Comparison of designed different land reallocation models in land consolidation: A case study in Konya/Turkey, Comput. Electron. Agric. 110 (2015) 249–258. doi:10.1016/j.compag.2014.11.022.
- [7] T. Cay, F. Iscan, Fuzzy expert system for land reallocation in land consolidation, Expert Syst. Appl. 38 (2011) 11055–11071. doi:10.1016/j.eswa.2011.02.150.
- [8] M. Avcı, A new approach oriented to new reallotment model based on block priority method in land consolidation, Turkish J. Agric. For. 23 (1999) 451–457.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yazarlar
Yaşar İnceyol
ADIYAMAN ÜNİVERSİTESİ
Türkiye
Abdurrahman Özbeyaz
ADIYAMAN ÜNİVERSİTESİ
Türkiye
Yayımlanma Tarihi
26 Aralık 2016
Gönderilme Tarihi
28 Aralık 2016
Kabul Tarihi
1 Aralık 2016
Yayımlandığı Sayı
Yıl 2016 Cilt: 4 Sayı: Special Issue-1