Multi-objective optimization based reallocation in land consolidation

To solve problems encountered in real life, we sometimes need optimization algorithms. Some of these problems have single objective, while others have multiple objectives. If there is a single objective, the problem is defined as a single-objective optimization problem and if there are more than one objective it is called multi-objective optimization problem. Land Consolidation (LC) studies are aimed at giving small and scattered plots large and together. It can be defined as a multi objective optimization problem due to the fact that there are more than one criteria in the Reallocation stage, which is one of the stages of the LC study. In this study, one of the multi objective optimization techniques, PESA-II, NSGA-II and Hybrid NSGA-II algorithms, is applied to the reallocation problem. The results are comparable with the studies in the literature. When the results are analyzed, it was seen that multi-objective optimization algorithms had achieved successful results.