Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2016, Cilt: 4 Sayı: Special Issue-1, 255 - 259, 26.12.2016

Öz

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.
  • [9] T. Cay, T. Ayten, F. Iscan, An Investigation of Reallocation Model Based in Interview in Land Consolidation, içinde: Shap. Chang. XXIII FIG Congr. Oct. 8-13, 2006, 2006: ss. 1–13.
  • [10] T. Cay, T. Ayten, F. Iscan, Effects of different land reallocation models on the success of land consolidation projects: Social and economic approaches, Land use policy. 27 (2010) 262–269. doi:10.1016/j.landusepol.2009.03.001.
  • [1] E. Kovács, Results And Experiences Of Tama , A Land Consolidation Project In Hungary, içinde: Int. Conf. Spat. Inf. Sustain. Dev., 2001: ss. 1–10.
  • [2] E.H. Semlali, A GIS Solution To Land Consolidation Technical Problems In Morocco, içinde: Proc. FIG Work. Week, Seoul, Korea, 2001: ss. 1–13. https://www.fig.net/pub/proceedings/korea/full-papers/pdf/session24/semlali.pdf.
  • [3] Y. Ayranci, Re-allocation aspects in land consolidation: A new model and its application, J. Agron. 6 (2007) 270–277. doi:10.3923/ja.2007.270.277.
  • [4] T. Cay, M. Uyan, Evaluation of reallocation criteria in land consolidation studies using the Analytic Hierarchy Process (AHP), Land use policy. 30 (2013) 541–548. doi:10.1016/j.landusepol.2012.04.023.
  • [5] D. Demetriou, J. Stillwell, L. See, An integrated planning and decision support system (IPDSS) for land consolidation: Theoretical framework and application of the land-redistribution modules, Environ. Plan. B Plan. Des. 39 (2012) 609–628. doi:10.1068/b37075.
  • [6] M.A. Akkus, O. Karagoz, O. Dulger, Automated land reallotment using genetic algorithm, INISTA 2012 - Int. Symp. Innov. Intell. Syst. Appl. (2012) 1–5. doi:10.1109/INISTA.2012.6247018.
  • [7] D. Demetriou, L. See, J. Stillwell, A spatial genetic algorithm for automating land partitioning, Int. J. Geogr. Inf. Sci. 27 (2013) 2391–2409. doi:10.1080/13658816.2013.819977.
  • [8] D. Karaboga, B. Basturk, A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm, J. Glob. Optim. 39 (2007) 459–471. doi:10.1007/s10898-007-9149-x.
  • [9] T. Aydın, D., Liao, T., Montes de Oca, M. A., Stützle, Improving Performance via Population Growth and Local Search: The Case of the Artificial Bee Colony Algorithm, içinde: J.-K. Hao, P. Legrand, P. Collet, N. Monmarché, E. Lutton, M. Schoenauer (Ed.), Int. Conf. Artif. Evol., Springer Berlin Heidelberg, Berlin, Heidelberg, 2012: ss. 85–96.
  • [10] 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.
  • [21] D. Karaboğa, An Idea Based On Honey Bee Swarm For Numerical Optimization, Kayseri, 2005.
  • [22] D. Karaboga, B. Akay, Artificial Bee Colony (ABC) Algorithm on Training Artificial Neural Networks, içinde: 2007 IEEE 15th Signal Process. Commun. Appl., IEEE, 2007: ss. 1–4. doi:10.1109/SIU.2007.4298679

A Model of Automatic Block Reallocation in the Land Consolidation Projects Using Artificial Bee Colony Algorithm

Yıl 2016, Cilt: 4 Sayı: Special Issue-1, 255 - 259, 26.12.2016

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.

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.
  • [9] T. Cay, T. Ayten, F. Iscan, An Investigation of Reallocation Model Based in Interview in Land Consolidation, içinde: Shap. Chang. XXIII FIG Congr. Oct. 8-13, 2006, 2006: ss. 1–13.
  • [10] T. Cay, T. Ayten, F. Iscan, Effects of different land reallocation models on the success of land consolidation projects: Social and economic approaches, Land use policy. 27 (2010) 262–269. doi:10.1016/j.landusepol.2009.03.001.
  • [1] E. Kovács, Results And Experiences Of Tama , A Land Consolidation Project In Hungary, içinde: Int. Conf. Spat. Inf. Sustain. Dev., 2001: ss. 1–10.
  • [2] E.H. Semlali, A GIS Solution To Land Consolidation Technical Problems In Morocco, içinde: Proc. FIG Work. Week, Seoul, Korea, 2001: ss. 1–13. https://www.fig.net/pub/proceedings/korea/full-papers/pdf/session24/semlali.pdf.
  • [3] Y. Ayranci, Re-allocation aspects in land consolidation: A new model and its application, J. Agron. 6 (2007) 270–277. doi:10.3923/ja.2007.270.277.
  • [4] T. Cay, M. Uyan, Evaluation of reallocation criteria in land consolidation studies using the Analytic Hierarchy Process (AHP), Land use policy. 30 (2013) 541–548. doi:10.1016/j.landusepol.2012.04.023.
  • [5] D. Demetriou, J. Stillwell, L. See, An integrated planning and decision support system (IPDSS) for land consolidation: Theoretical framework and application of the land-redistribution modules, Environ. Plan. B Plan. Des. 39 (2012) 609–628. doi:10.1068/b37075.
  • [6] M.A. Akkus, O. Karagoz, O. Dulger, Automated land reallotment using genetic algorithm, INISTA 2012 - Int. Symp. Innov. Intell. Syst. Appl. (2012) 1–5. doi:10.1109/INISTA.2012.6247018.
  • [7] D. Demetriou, L. See, J. Stillwell, A spatial genetic algorithm for automating land partitioning, Int. J. Geogr. Inf. Sci. 27 (2013) 2391–2409. doi:10.1080/13658816.2013.819977.
  • [8] D. Karaboga, B. Basturk, A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm, J. Glob. Optim. 39 (2007) 459–471. doi:10.1007/s10898-007-9149-x.
  • [9] T. Aydın, D., Liao, T., Montes de Oca, M. A., Stützle, Improving Performance via Population Growth and Local Search: The Case of the Artificial Bee Colony Algorithm, içinde: J.-K. Hao, P. Legrand, P. Collet, N. Monmarché, E. Lutton, M. Schoenauer (Ed.), Int. Conf. Artif. Evol., Springer Berlin Heidelberg, Berlin, Heidelberg, 2012: ss. 85–96.
  • [10] 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.
  • [21] D. Karaboğa, An Idea Based On Honey Bee Swarm For Numerical Optimization, Kayseri, 2005.
  • [22] D. Karaboga, B. Akay, Artificial Bee Colony (ABC) Algorithm on Training Artificial Neural Networks, içinde: 2007 IEEE 15th Signal Process. Commun. Appl., IEEE, 2007: ss. 1–4. doi:10.1109/SIU.2007.4298679
Toplam 22 adet kaynakça vardır.

Ayrıntılar

Konular Mühendislik
Bölüm Research Article
Yazarlar

Yaşar İnceyol

Abdurrahman Özbeyaz

Yayımlanma Tarihi 26 Aralık 2016
Yayımlandığı Sayı Yıl 2016 Cilt: 4 Sayı: Special Issue-1

Kaynak Göster

APA İnceyol, Y., & Özbeyaz, A. (2016). A Model of Automatic Block Reallocation in the Land Consolidation Projects Using Artificial Bee Colony Algorithm. International Journal of Intelligent Systems and Applications in Engineering, 4(Special Issue-1), 255-259. https://doi.org/10.18201/ijisae.282065
AMA İnceyol Y, Özbeyaz A. A Model of Automatic Block Reallocation in the Land Consolidation Projects Using Artificial Bee Colony Algorithm. International Journal of Intelligent Systems and Applications in Engineering. Aralık 2016;4(Special Issue-1):255-259. doi:10.18201/ijisae.282065
Chicago İnceyol, Yaşar, ve Abdurrahman Özbeyaz. “A Model of Automatic Block Reallocation in the Land Consolidation Projects Using Artificial Bee Colony Algorithm”. International Journal of Intelligent Systems and Applications in Engineering 4, sy. Special Issue-1 (Aralık 2016): 255-59. https://doi.org/10.18201/ijisae.282065.
EndNote İnceyol Y, Özbeyaz A (01 Aralık 2016) A Model of Automatic Block Reallocation in the Land Consolidation Projects Using Artificial Bee Colony Algorithm. International Journal of Intelligent Systems and Applications in Engineering 4 Special Issue-1 255–259.
IEEE Y. İnceyol ve A. Özbeyaz, “A Model of Automatic Block Reallocation in the Land Consolidation Projects Using Artificial Bee Colony Algorithm”, International Journal of Intelligent Systems and Applications in Engineering, c. 4, sy. Special Issue-1, ss. 255–259, 2016, doi: 10.18201/ijisae.282065.
ISNAD İnceyol, Yaşar - Özbeyaz, Abdurrahman. “A Model of Automatic Block Reallocation in the Land Consolidation Projects Using Artificial Bee Colony Algorithm”. International Journal of Intelligent Systems and Applications in Engineering 4/Special Issue-1 (Aralık 2016), 255-259. https://doi.org/10.18201/ijisae.282065.
JAMA İnceyol Y, Özbeyaz A. A Model of Automatic Block Reallocation in the Land Consolidation Projects Using Artificial Bee Colony Algorithm. International Journal of Intelligent Systems and Applications in Engineering. 2016;4:255–259.
MLA İnceyol, Yaşar ve Abdurrahman Özbeyaz. “A Model of Automatic Block Reallocation in the Land Consolidation Projects Using Artificial Bee Colony Algorithm”. International Journal of Intelligent Systems and Applications in Engineering, c. 4, sy. Special Issue-1, 2016, ss. 255-9, doi:10.18201/ijisae.282065.
Vancouver İnceyol Y, Özbeyaz A. A Model of Automatic Block Reallocation in the Land Consolidation Projects Using Artificial Bee Colony Algorithm. International Journal of Intelligent Systems and Applications in Engineering. 2016;4(Special Issue-1):255-9.