In this study, optimization of a solar cooling system assisted ground source Heat Pump system (GSHP) is performed. A thermodynamic model based on energy and exergy analysis is presented, and an economic model of the hybrid GSHP (HGSHP) system is developed according to the specific exergy costing method. The proposed hybrid solar cooling system-assisted GSHP system, including 15 decision variables, is considered for optimization. The optimization process was carried out using a multi-objective evolutionary algorithm. Three optimization scenarios, including thermodynamic single objective, thermoeconomic single objective, and multi-objective optimizations, are performed. In the case of multi-objective optimization, an example of a decision-making process for selection of the final solution from the Pareto optimal frontier is presented. It was concluded that the multi-objective optimization is a general form of single-objective optimization that considers two objectives of thermodynamic and economic, simultaneously. It was discussed that the final solution of the multiobjective optimization depends on decision-making process. However, its results were somewhere between corresponding results of thermodynamic and economic single-objective optimizations. The results obtained using the various optimization approaches are compared and discussed. It is shown that the thermodynamic optimization is focused on provision for the limited source of energy, whereas the thermoeconomic optimization only focuses on monetary resources. In contrast, the multi-objective optimization considers both energy and monetary. The results showd that percentages of deviation from ideal values of thermodynamic and economic criteria for the thermodynamic optimized system were 0.00% and 436.356%, respectively. These percentages for the economic optimized system were 90.688% and 0.00%, respectively. Deviation values from minimum ideal point for the multi-objective optimized design were obtained 7.772% and 49.775% for thermodynamic and economic criteria, respectively. It was concluded that the multi-objective design satisfies the thermodynamic and economic criteria better than two single-objective thermodynamic and economic optimized designs. Keywords : Multi-objective optimization, Hybrid ground source heat pump, Solar cooling, Thermoeconomic, Genetic Algorithm, Thermodynamic.