In　this　paper　the　thermodynamic　and　economic　models　for　the　supercritical　CO2(SCO2)　partial　pre-cooling　cycle　are　established,　and　the　influence　of　key　parameters　on　the　exergy　efficiency　and　system　cost　of　the　cycle　is　analyzed.　The　non-dominated　sorting　genetic　algorithm　II　(NSGA-II)　is　used　to　optimize　the　thermodynamic　parameters　of　the　SCO2cycle　with　exergy　efficiency　and　net　power　output　as　its　objective　functions,　and　Pareto　optimal　curves　are　obtained.　The　results　show　that　the　SCO2partial　pre-cooling　cycle　is　highly　efficient.　Under　the　given　conditions,　the　cycle　exergy　efficiency　could　be　increased　by　decreasing　the　pinch　temperature　of　condensers,　or　increasing　the　efficiency　of　turbine　and　compressors.　Moreover,　the　system　cost　could　be　reduced　by　improving　the　pressure　ratio,　reducing　the　heat　source　temperature　or　increasing　the　pinch　temperature.　And　the　Pareto　curve　indicates　that　the　exergy　efficiency　and　system　cost　cannot　reach　the　optimal　state　at　the　same　time,　so　the　optimal　solution　should　be　selected　according　to　the　actual　conditions.　©　2016,　Science　Press.　All　right　reserved.