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This paper presents an adaptation of genetic algorithm in solving the problem of allocating classes at the Polytechnic campus of the Federal University of Parana. Therefore, several methods were analyzed, wherein the chosen was, because of their efficiency and adaptability, the genetic algorithm. The developed algorithm, in addition to being tested with real and current data of the institution, was compared with the current process applied on the campus, obtaining more satisfactory results compared to the same. The created system managed to allocate, by the insertion of new concepts and adaptations of the genetic operators of the classic genetic algorithm, 1348 classes in 58 rooms at different times and days of the week quickly and efficiently in function of the restrictions and particularities of the problem.

APLICAÇÃO DE ALGORITMOS GENÉTICOS E MÉTODOS EVOLUCIONÁRIOS NA RESOLUÇÃO DO PROBLEMA DE ALOCAÇÃO DE TURMAS: CASO UFPR.