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    Genetic algorithm supported by expert system to solve land redistribution problem
    (Wiley, 2018) Hakli, Huseyin; Uguz, Harun; Cay, Tayfun
    Land redistribution, a real-world optimization problem, involves the distribution of land parcels in predetermined blocks based on the landowners' preferences. This process, measured in weeks or months, is usually performed manually by a technician with the support of computer software. Although various techniques have been developed in recent years to solve this complex problem, they all require improvement. This study aimed to develop a new technique and produce applicable redistribution plans using a genetic algorithm (GA) in combination with an expert system. Blocks of cadastral parcels were determined by a GA using a new objective function to consider the overflow and residual areas as well as the landowners' preferences. The expert system was employed to close (reduce to zero) the overflow or residual areas occurring after the GA distribution. To investigate the performance of the proposed method, the system was used on a real study area and the results were compared against those obtained for the same cadastral situation undertaken by a technician using a similar method from published literature. The experimental results showed that the method proposed in this study performed better than the other methods because it provided a successful and applicable redistribution plan for the study area in a much shorter time.
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    Modeling of reallocation in land consolidation with a hybrid method
    (Elsevier Sci Ltd, 2018) Ertunc, Ela; Cay, Tayfun; Hakli, Huseyin
    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.