Modeling of reallocation in land consolidation with a hybrid method

Abstract

Land consolidation is one of the important tool of increasing productivity in agricultural production. Land consolidation not only consolidates fragmented land, but also improves the standards of landowners in agriculture, technical, social and cultural areas. Land consolidation projects consist of various stages. The most important, complicated and time-consuming part of these stages is land reallocation. Land reallocation is a process which requires a long time and high operating costs and in which there frequently arise disputes between landowners. For these reasons, it is inevitable to use computer technology to optimize this process. In this study, a hybrid method including genetic algorithm and fuzzy logic techniques which enable reallocation to be done automatically in land consolidation has been used. The crossover rate and the operation of the genetic algorithm (GA) method have been realized as a self-adaptive structure using fuzzy logic techniques. A similar study used for the land reallocation problem in the literature, the results of reallocation plans obtained by the technician and the results obtained by the hybrid method have been compared. When the experimental results are evaluated, it has been found that the hybrid method used is more successful and efficient than similar studies in the literature and also has a better reallocation plan.