The　story　stiffness　of　frame　structure　can　affect　the　response　of　the　structure　under　earthquake.　By　the　reasonable　optimization　of　stiffness　distribution,　the　safety　of　frame　structure　can　be　improved.　In　order　to　improve　the　efficiency　of　the　existing　optimization　algorithm,　a　hybrid　heuristic　algorithm　combining　particle　swarm　optimization　(PSO)　and　differential　evolution　algorithm　(DE)　is　proposed.　The　local　optimal　solution　is　obtained　by　DE,　which　is　used　as　the　random　initial　solution　of　PSO　to　get　the　optimal　result　quickly.　Based　on　the　hybrid　heuristic　algorithm,　the　story　stiffness　of　the　frame　structure　is　optimized.　Under　the　seismic　action,　the　uniform　or　similar　displacement　between　the　stories　of　the　frame　structure　with　bending　and　shearing　deformation　is　taken　as　the　optimization　objective,　and　the　optimal　story　stiffness　distribution　is　the　optimization　variable.　Finally,　the　uniform　displacement　is　achieved,　and　the　optimal　story　stiffness　distribution　of　the　frame　structure　is　obtained.　The　optimal　stiffness　distribution　formula　is　obtained　by　the　curve　fitting　method.　The　results　show　that　the　proposed　hybrid　algorithm　can　significantly　improve　the　computational　efficiency.　Compared　with　the　existing　optimal　story　stiffness　distribution,　the　accuracy　of　the　proposed　optimization　results　is　higher,　and　the　optimization　results　are　less　affected　by　the　randomness　of　ground　motion.