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Use of the Migrating Birds Optimization (MBO) Algorithm in solving land distribution problem
Land Use Policy ( IF 6.189 ) Pub Date : 2020-05-01 , DOI: 10.1016/j.landusepol.2020.104550
Vahit Tongur , Ela Ertunc , Mevlut Uyan

Land distribution is an important process in Land Consolidation (LC) projects where agricultural parcels are reallocated to predetermined blocks. Land distribution is a process that takes a long time, requires high operating costs, and conflicts between landowners occur frequently. The parcels are tried to be placed in the best and most appropriate place of the existing blocks by considering many parameters in the distribution stage. Therefore, the placement of new parcels in blocks is seen as an optimization process. In LC projects, this process is carried out manually by technical staff using a software and thus it becomes a process that takes weeks and even months. Various methods have been developed to solve this important stage of the LC projects. It is required to find the best solution, since this issue is an optimization problem. This study aims to develop a new land distribution method. For this purpose, land distribution were carried out by use Migrating Birds Optimization (MBO) Algorithm. Used land distribution method in practice and the results of the new developed method were compared and thus the usability of the method that developed by us was tested. With this study, it has developed a new and successful distribution method according to the preference of land owners.

中文翻译:

候鸟优化(MBO)算法在解决土地分配问题中的应用

土地分配是土地整合 (LC) 项目中的一个重要过程,在该项目中,农业地块被重新分配到预定的区块。土地分配是一个耗时长、运营成本高的过程,土地所有者之间的冲突经常发生。地块在分布阶段通过考虑许多参数,试图将地块放置在现有块的最佳和最合适的位置。因此,在块中放置新地块被视为一个优化过程。在 LC 项目中,此过程由技术人员使用软件手动执行,因此需要数周甚至数月的时间。已经开发了各种方法来解决 LC 项目的这个重要阶段。需要找到最佳解决方案,因为这个问题是一个优化问题。本研究旨在开发一种新的土地分配方法。为此,通过使用候鸟优化(MBO)算法进行土地分配。将实践中使用的土地分配方法与新开发方法的结果进行了比较,从而测试了我们开发的方法的可用性。通过这项研究,它根据土地所有者的偏好开发了一种新的成功的分配方法。
更新日期:2020-05-01
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