With growing proliferation of environmental pollution and reduction of energy sources, human being has been always looking for a solution to reduce pollution. One of these solutions is to use solar energy. In this research, a mathematical model is developed for optimization location decision of solar cells to minimize the operational and investment costs. The location of placement and the type of solar technology is planned and optimized by Genetic Algorithm (GA). To show the validity of the model, an accurate solving method is applied for small dimensions. Then, the GA efficiency is shown by comparing GAMS and GA results in large dimensions using the optimum values of the GA parameters. Finally, the applicability of the proposed model is presented for Jarghoyeh power plant in Iran. The results indicate that GA with spending less time could find better answers in comparison with GAMS. The results show the effectiveness of the proposed model.