This　study　presents　a　method　for　selecting　and　designing　shading　strategies　that　reduce　glare　and　maintain　satisfactory　daylight　levels　in　buildings.　The　proposed　method　employs　a　multi-objective　genetic　algorithm　to　construct　Pareto　sets,　using　two　indicators:　the　spatial　glare　autonomy　(sGA),　a　dynamic　glare　evaluation　indicator,　and　the　spatial　daylight　vote　autonomy　(sDVA),　based　on　daylight　subjective　vote　(DSV).　DSV　is　a　daylight　index　developed　through　a　field　survey,　which　builds　the　relationship　between　horizontal　illuminance　levels　and　subjective　satisfaction.　The　performance　of　four　shading　strategies　is　compared　in　a　university　library　in　Shanghai,　namely　vertical　slats　(Vs),　perforated　aluminum　sheet　(PAS),　serrated　windows　with　southern　orientation　(Sw_S),　and　serrated　windows　with　northern　orientation　(Sw_N).　The　results　reveal　that　the　Sw_N　strategy　is　most　effective　in　reducing　glare,　while　the　Vs　strategy　provides　a　more　satisfactory　illuminance　level.　In　the　performance　of　the　optimal　parameter　of　the　different　shading　strategies　designs,　the　near-optimal　designs　for　PAS,　Vs,　Sw_N,　and　Sw_S　greatly　reduced　the　complementary　sGA0.35/95%,　by　9%,　22%,　8%,　and　8%,　respectively.　The　proposed　method　can　facilitate　the　design　of　an　appropriate　daylighting　environment.　©　2023　IBPSA.All　rights　reserved.