Development of a Spatial Multi Objective Optimization Model for Intensive Energy Industries Land Use Planning

Land use planning is the process of allocating different land uses and activities to the special land units. By considering the role of industries in development, employment and environment, in this paper industrial and especially intensive energy industries’ planning was considered as a multi objective optimization problem. Although, during the last decades linear programming was used for solving this problem, recent researches trends to use evolutionary algorithms. NSGA-II method has been used in this paper. In this paper Isfahan province has been considered as the case study area. Isfahan, because of its geographical location and infrastructural facilities has been one of the industrial poles. Various data such as main roads, railroads, mines, power transmission lines, gas transmission lines, rivers, faults, lakes, city regions, sensitive ecological areas have been used as factor maps to locate industrial site. In this paper, some steps have been taken to utilize NSGA-II:Define environmental constraints: with the consideration of the environmental rules, unsuitable areas were removed from the case study. Some buffers around roads, forests, rivers, faults and conservation areas were created. Therefore, these areas were removed from the next steps.Encode candidate solutions: For each pixel a number as index was assigned that formed the chromosomes of our problem.Initial population: Initial population is created randomly from indexes. In this paper we considered 25 solutions as the initial population. Each individual corresponds to one candidate solution (decision alternatives).Fitness functions: In this study, minimized distance (dc) from population centers was considered as social objective and maximized distance from water resources (dw), forests (df) and protected natural areas (dp) was considered as environmental objective. In this paper real coded decision variable, simulation binary crossover and polynomial mutation were used. NSGA-II in different generations was run and optimum results were obtained in 1000th generation. Most of the selected areas are located in Khor, Anarak and Niasar districts.After obtaining the results of NSGA-II based on both social and environmental objectives, economical objective was used to determine the priority of each selected locations to allocate to iron, aluminum and cement industries (Figure 1).For Iron and steel industry: Economic objective~ Min ((1/25.91)*dr + (1/21.17)*dm + (1/40.87)*de + (1/12.05)*dg),