en عمومى General پژوهشي Research The quadratic assignment problem (QAP) is one of the problems of combinatorial optimization belonging to the NP-hard problems’ class and has a wide application in the placement of facilities. Thus far, many efforts have been made to solve this problem and countless algorithms have been developed to achieve optimal solutions, one of which is the Genetic Algorithm (GA). This paper aims at finding a suitable layout for the facilities of an industrial workshop by using a developed genetic algorithm. The research method in the current study is mathematical modeling and data was analyzed using genetic algorithm in MATLAB. The results show that the developed genetic algorithm (DGA) is highly efficient, as it has the power to discover many optimal solutions. Optimization, Facility’s Layout, Genetic Algorithm, Quadratic Assignment Problem 23 32 http://ijorlu.lahijan.iau.ir/browse.php?a_code=A-10-464-3&slc_lang=en&sid=1 H. Jafari hossein_jafari_123@yahoo.com 10031947532846001333 10031947532846001333 Yes Young Researchers and Elite Club, Arak Branch, Islamic Azad University, Arak, Iran. M. Faraji mahsa.far21@gmail.com 10031947532846001334 10031947532846001334 No Department of Industrial Engineering, Islamic Azad University of Arak, Arak, Iran M. Ehsanifar m-ehsanifar@iau-arak.ac.ir 10031947532846001335 10031947532846001335 No Department of Industrial Engineering, Islamic Azad University of Arak, Arak, Iran