Classical DEA model has some serious drawbacks: (1) non-linear optimization problem, (2) lack of discriminating power, and (3) the obtained efficiency is relative. In this study, we use a multi-criteria performance technique data envelopment analysis (DEA) with metaheuristics technique genetic algorithm (GA) to overcome the drawbacks of the DEA. With the help of the integrated technique (DEA-GA), we maximize the efficiencies of DMUs simultaneously, and discrimination among the units is better as compared to the classical DEA model. For this purpose, we use a realistic numerical example, higher education institute data. The results show that the proposed integrated model gives more realistic outcomes.