Multi objective optimization of performance of three-heat-source irreversible refrigerators based algorithm NSGAII

This study demonstrates an optimization investigation of an irreversible refrigeration absorption system based on the new thermo-ecological criterion. The specific entropy generation rate and the ecological coefficient of performance (ECOP) were presumed as objective function in multi-objective optimization process. Multi-objective optimization algorithm (MOEA) improved by NSGAII algorithm was employed to optimize simultaneously two aforementioned objective functions. In order to get the best performance ECOP has been maximized and specific entropy generation rate was minimized. Decision making has been done via two well-organized methods including TOPSIS and LINAMP. Error analysis and sensitivity analysis was executed on the answers gained via two decision makers in the above mentioned system. Finally, results of this paper were compared to the previous researches and this comparison reveals that the results achieved here are reasonable in comparison with previous ones.