RT - Journal Article T1 - Multi-Objective land use planning and modeling its change using Multi-Objective Evolutionary Algorithm based on Decomposition algorithm JF - kntu-jgit YR - 2018 JO - kntu-jgit VO - 6 IS - 1 UR - http://jgit.kntu.ac.ir/article-1-567-en.html SP - 131 EP - 154 K1 - Land use change modeling K1 - Decision support K1 - MOEA/D K1 - GIS AB - Considering rigidity in General and Detail urban plans, modeling the effects of changes mathematically would be worth in such plans. Investigating the effects of urban land use changes in the arrangement of other land uses and designing criteria such as consistency, dependency, suitability and per capita demand, always is a multi-objective and NP-hard problem. Due to the variety of urban land uses and their complex relationships with each other, many possible arrangements of land uses can be suggested. In this study, the main target is obtaining the effects of changes in one or more land uses in the arrangement of the other land uses considering three objective functions and one criteria simultaneously. These objective functions include consistency, dependency and suitability. Moreover, per capita demand assume as criteria in this research. To do so, MOEA/D algorithm is applied. Results demonstrate that the solutions are acceptable in the test of meta-heuristic algorithms. Furthermore, the results of the algorithm shows more optimized answer than current status. It is notable to say that the run time of this algorithm is considerably lower than other MOEAs like NSGA-II. Besides, the search space of MOEA/D is more expanded than NSGA-II. LA eng UL http://jgit.kntu.ac.ir/article-1-567-en.html M3 10.29252/jgit.6.1.131 ER -