摘要：This study emphasized the ability of Genetic Algorithm to simulate urban land use changes byintegrating adaptive model. The most important part of modeling is to define transition rules. Inthis research, a Cellular Automata model in DINAMICA EGO software was used coupled withgenetic algorithm. According to disability of the software for manipulating large number ofvariables in Genetic Algorithm Tool in the software, a program implemented in Python language inorder to carry out genetic algorithm for coefficients in the model to simulate human land use ofKaraj City as a rapid urbanization area in Iran. Results revealed from the program had 67%similarity with Genetic Algorithm Tool. By using the results of the simulations have done. Finally,the results of the original status have been compared with the results of simulation based on geneticalgorithm. The results show that proposed model provides a new way for the simulation of land usechanges and demonstrated that there is no significant difference between results of original modeland genetic algorithm simulation. Although it seems that genetic algorithm approach will lead tomore optimal results but this is not guaranteed it has better outputs compared to original status.
关键词：Land use planning; land cover changes; Genetic Algorithm.
