A literature review of Solving Land Use Planning Problem with Multiobjective Optimization Algorithms

In order to provide a sustainable urban and regional development, the land needs to be classified as areas suitable for urban development (residential areas, industrial areas, recreational areas, etc.), areas that can be opened to urban development when special conditions and costs are provided (disaster risk areas, high slope areas, low fertile agricultural land, etc.), areas that absolutely necessary to be protected and transferred to future generations (conservation areas: fertile agricultural areas, water basins, areas with natural /cultural/biological sensitivity). For example, in determining the areas suitable for urban development, it is of great importance to find the most optimal possible way of achieving many objectives, such as not being located in fertile agricultural land, having a certain distance to underground and surface water resources, being close to places with high risk of disasters, close to basic transportation and infrastructure corridors. From this point of view, the Land Use Planning Problem (LUPP) is a problem that falls into the Multi Objective Optimization Problems (MOOP) class. In the literature, as well as classical mathematical methods Heuristic based Multi Objective Optimization Algorithms (HMOOA) are also used successfully to solve various MOOP. In this study, six different academic studies which solve LUPP by using the HMOOA were examined as literature review. As a result of the review, it has been seen that the HMOOA has achieved very successful results in the solution of LUPP.