This　study　investigates　the　optimization　of　gridshell　dome　shapes　using　seismic　design　demand　parameters　as　the　primary　objective　function.　The　innovative　methodology　integrates　shape　optimization　with　seismic　analysis,　deviating　from　traditional　approaches　that　separate　geometric　design　and　seismic　performance　enhancement.　By　integrating　computational　methods,　utilizing　parametric　modeling　through　Grasshopper,　and　structural　analysis　with　OpenSees,　the　framework　employs　a　genetic　algorithm　for　optimization.　Nonlinear　time-history　analysis,　incorporating　material　and　geometric　nonlinearities,　reveals　that　the　optimal　shape　of　the　dome　is　significantly　influenced　by　its　seismic　response.　The　results　show　that　the　optimal　dome　shape　can　vary　substantially　based　on　seismic　performance　criteria,　indicating　a　dynamic　interplay　between　structural　form　and　seismic　forces.　Moreover,　the　optimal　shape　can　be　further　influenced　by　implementing　a　supplementary　damping　system.　In　this　case,　both　the　gridshell　shape　and　seismic　dampers　arrangement　require　adjustments　to　achieve　optimal　seismic　performance.　These　findings　highlight　the　critical　role　of　integrated　seismic　analysis　in　shaping　optimization,　emphasizing　that　the　ideal　dome　geometry　is　not　static　but　evolves　in　response　to　seismic　demands　and　damping　configurations.　©　The　Author(s),　under　exclusive　license　to　Springer　Nature　Switzerland　AG　2025.