Solving industrial estates allocation problem using multi-objective optimization algorithms

摘要

Land use planning has got popularity due to ever increasing population and their dependence on optimal management of resources. Apparently, a suitable location for certain applications including industrial estates may be involved in economic, social and ecological prosperity of the given region. There are enormous data volume and complex criteria for the site selection of industrial estates that cause much more difficulty for decision making and ordinary methods in GIS (such as buffer and overlay) can not meet the requirements of this multi-objectives problem. With respect to land use planning and industrial development strategies, managers as decision-makers can organize the best location for industrial estates using multi objective optimization algorithms. We applied, MOPSO algorithm to support the decision making process in selecting optimum location for industrial estates in Zanjan province. Thus, at first, objective functions and constrains have been defined and required data have been gathered from sources. Subsequently, the suitable lands have been determined and ranked using MOPSO method and GIS softwares. Results showed the optimum locations for industrial estates with effective solution front showing the managers the results of changes in the decisionmaking priorities. This algorithm tested in research area which its results taken into account in different conditions.