Using Single-Objective Genetic Algorithm for Land Consolidation Distribution Process

Abstract

Many factors must be considered in block distribution, which is the most important step that directly affects on the success of land consolidation projects. Block distribution is a complex, long time-consuming process and largely depends on the knowledge and experience of the person who do the block distribution. These problems revealed the need to develop new methods for the distribution process. Therefore, operations research techniques, block priority model, spatial decision support systems, genetic algorithm and hybrid distribution methods were tried to be developed for block distribution. In this study; a distribution method that eliminates the need for block balancing, which is a major problem for the distribution process, was proposed. Distribution was considered as a balanced transportation problem and it was performed using a single objective genetic algorithm. In addition, this method focuses on the problem of block balancing. Therefore, the distribution was made according to a single objective function. Evciler village data of Burdur Golhisar Land Consolidation Project were used in the study. The results of the new application made according to this method and the original project were compared. It is seen that, there was no deficiency or overage in the blocks and no block balancing was made. As a result, the consolidation rate has increased from 27% to 41% using Genetic Algorithm method.