This　study　explores　parametric　design　and　optimization　to　improve　a　reciprocal　frame　bridge’s　structural　efficiency　while　preserving　its　historical　and　architectural　significance.　The　research　aims　to　identify　an　optimal　configuration　that　minimizes　steel　requirements　for　a　self-supported　bridge　while　satisfying　structural　requirements.　This　objective　was　achieved　by　modifying　the　bridge’s　geometrical　parameters　using　a　genetic　algorithm　for　mono-objective　optimization.　A　finite　element　structural　analysis　was　conducted　to　evaluate　the　maximum　stress　in　the　material,　with　a　penalty　function　used　to　ensure　structural　safety.　The　parametric　design　software　allowed　for　efficient　and　precise　optimization　of　the　bridge　design.　The　results　demonstrate　that　the　proposed　optimization　method　reduces　material　usage　while　maintaining　the　bridge’s　original　structural　concept　of　traditional　wooden　Chinese　bridge,　validating　the　approach’s　effectiveness　for　future　design　of　reciprocal　frame　bridges.　©　2024,　The　Author(s),　under　exclusive　license　to　Springer　Nature　Switzerland　AG.