Abstarct: In this research, the exergy-economic analysis and multi-objective optimization of a multiple energy production system baxsed on solar energy for the production of electricity, cooling and hydrogen were discussed using different optimization algorithms. The selected paradigms for optimization include Multi objective Particle Swarm Optimizatoion (MOPSO), Non-dominated Sorting Genetic Algorithm (NSGA-II), Gray Wolf Optimizer (GWO), Imperialist Competitive Algorithm (ICA), Pareto Envelope-baxsed Selection Algorithm II (PESA- II), Strength Pareto Evolutionary Algorithm (SPEA-II) and Multi objective Evolutionary Algorithm baxsed on Decomposition (MOEA/D). The designed system consisted of a solar receiver, an organic Rankine cycle, a lithium-bromide absorption refrigeration cycle and a proton exchange membrane electrolyzer. The validation of the results of different multi-objective algorithms with reference research indicated good modeling accuracy. The objective functions investigated in this research were exergy efficiency and cost rate. The inlet temperature to the turbine, the inlet temperature to the evaporator, solar radiation, the mass flow rate of the input to the solar system and the area of the heliostat were considered as five decision variables. The results of seven powerful algorithms showed that MOPSO, MOEA/D, GWO, PESA-II, SPEA-II, NSGA-II and ICA have better performance to optimize the system, respectively. Then, by changing the solar energy receiver, the system was analyzed and optimized with the most powerful multi-objective optimization algorithm. The results of the optimization of the second proposed system with the MOPSO algorithm showed that the exergy efficiency and the cost rate of the system have a value of 6.8% and 13.6 dollars per hour, and the system is able to generate 13.88 kilowatts of electricity, 0.52 kg in its most optimal state. produce hydrogen per second and 43.66 kilowatts of cooling. The results of the sensitivity analysis showed that the increase in the mass flow rate of the input to the solar system, The inlet temperature to the evaporator and the temperature of the input to the turbine increased the exergy efficiency of the system. Finally, a case study was conducted for the city of Semnan to check the performance of the system according to the potential of that area.