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Information Journal Paper

Title

Urban Land-Use Allocation By A Cell-based Multi-Objective Optimization Algorithm

Pages

  163-186

Abstract

 Allocating Urban Land-uses to land-units with regard to different criteria and constraints is considered as a spatial Multiobjective problem. Generating various Urban Land-use layouts with respect to defined objectives for Urban Land-use Allocation can support urban planners in confirming appropriate layouts. Hence, in this research, a Multi-objective Optimization algorithm based on Grid is proposed to generate well-distributed solutions in objective space. In order to preserve diversity in Pareto front approximation, a Grid is defined in objective space. The cells of this Grid cluster the solutions and determine the suitable solutions for next generation in optimization process. The land-uses of region 1 of the district 7 of Tehran is used to assess the efficiency of the algorithm in optimizing Urban Land-use Allocation. The results of the proposed algorithm are compared with the results of Non-dominated Sorting Genetic Algorithm II and III (NSGA-II and NSGA-III). Comparing the results indicate that the proposed algorithm acts better than NSGA-II and NSGA-III in preserving diversity and improving the convergence of the solutions in Pareto front.

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    APA: Copy

    Maleki, Jamshid, HAKIMPOUR, FARSHAD, & Masoumi, Zohreh. (2019). Urban Land-Use Allocation By A Cell-based Multi-Objective Optimization Algorithm. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, 6(4 ), 163-186. SID. https://sid.ir/paper/230067/en

    Vancouver: Copy

    Maleki Jamshid, HAKIMPOUR FARSHAD, Masoumi Zohreh. Urban Land-Use Allocation By A Cell-based Multi-Objective Optimization Algorithm. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY[Internet]. 2019;6(4 ):163-186. Available from: https://sid.ir/paper/230067/en

    IEEE: Copy

    Jamshid Maleki, FARSHAD HAKIMPOUR, and Zohreh Masoumi, “Urban Land-Use Allocation By A Cell-based Multi-Objective Optimization Algorithm,” ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, vol. 6, no. 4 , pp. 163–186, 2019, [Online]. Available: https://sid.ir/paper/230067/en

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