Sustainable urban form has been recognized as one of the major concerns of the planning practice. Current land use pattern trends with low-density, single-use, and leapfroging urban growth on city outskirts call for more efficient land use development strategies balancing economy, environmental protection, and social equity. In this paper, we present a new multiobjective spatial optimization mo...

over the past few decades, several models such as the lp model have been used for managing watersheds and determining optimal cultivation pattern for agricultural planning. management and planning methods are the most important applied tools of management science for optimal allocating resources in order to gain the most profits in the different fields including natural resources, water resourc...

abstract- inadequate water supply is the major problem for agriculture in arid and semi-arid regions. thus, effective management should be considered for water resources planning. in this research, a model was provided which is able to estimate optimal land and water allocation in the doroodzan irrigation network. optimal water management model was used at farm level to evaluate different defic...

limitation of water resources in the earth has turned it as a valuable economic commodity. accordingly, the agricultural sector of which according to studies has the largest wasted water should be managed. therefore, it is advisable to use the application of methods and programming models such as the decision support system along with the abilities of gis in order to management of the water res...

land use optimization is one of the appropriate methods for soil conservation which helps decision makers and watershed planners in order to make the optimum decision among different land uses. the main objective of this research was to find the optimum area of each land use to reduce soil erosion rate as well as to increase the income of stakeholders in golroudbar watershed located in semnan p...

many real water resources optimization problems involve conflicting objectives. in this study, multiobjective genetic algorithm nsga-ii, has been developed for optimization the conjunctive use of surface water and groundwater resources and optimal management of supply and demand of agricultural water. here, optimal allocation of land and water resources to the dominant products in najaf abad pl...

Land-use allocation is of great significance in urban development. This type of allocation is usually considered to be a complex multi-objective spatial optimization problem, whose optimized result is a set of Pareto-optimal solutions (Pareto front) reflecting different tradeoffs in several objectives. However, obtaining a Pareto front is a challenging task, and the Pareto front obtained by sta...

Kaim, A., B. Bartkowski, N. Lienhoop, C. Schröter-Schlaack, M. Volk, and Strauch. 2021. Combining biophysical optimization with economic preference analysis for agricultural land-use allocation. Ecology Society 26(1):9. https://doi.org/10.5751/ES-12116-260109