Dataset of multi -objective optimization and evaluation of supercritical CO2 Brayton cycle for nuclear power generation

The data was generated using offline software MATLAB and REFPROP.Pareto data shows the Pareto frontier solution set obtained by optimizing different nuclear power Brayton cycle schemes.The first 5 columns of the data are decision variables, columns 6-7 are objective functions, and the remaining data are the required evaluation indicators.Taylor data shows the root mean square difference (Rrmsd), correlation coefficient (Ccoef), and standard deviation (Sstd) of different multi-attribute decision schemes.