If　the　structural　story　drifts　are　equal　when　a　frame　is　subjected　to　earthquake,　the　occurrence　of　weak　story　and　concentrated　damage　can　be　avoided,　and　the　overall　seismic　performance　can　be　improved　in　an　all-round　way.　It　has　great　theoretical　and　engineering　significance　to　optimize　the　seismic　design　according　to　above　object,　but　the　relevant　theoretical　and　regular　research　is　not　intensive.　In　view　of　the　shortcomings　of　the　low　efficiency　of　present　structural　optimization　algorithms,　a　hybrid　intelligent　algorithm　based　on　differential　evolution　algorithm　and　particle　swarm　optimization　algorithm　was　proposed,　and　the　structural　optimization　calculation　process　was　given.　For　a　bend-shear　frame　structure,　the　optimization　objective　is　to　ensure　equal　interlayer　displacement,　the　story　stiffness　was　optimal　designed　based　on　the　hybrid　intelligent　algorithm,　and　the　optimal　distribution　of　floor　stiffness　was　obtained.　On　this　basis,　the　influence　of　the　randomness　of　ground　motion　and　the　stiffness　ratio　of　beam　and　column　to　the　optimization　results　and　the　distribution　of　stiffness　was　studied.　The　polynomial　function　of　the　optimal　stiffness　ratio　of　the　floor　and　the　ratio　of　the　equivalent　optimum　cross　section　size　was　established.　By　comparing　with　the　existing　research　results,　it　is　verified　that　the　established　empirical　function　has　high　accuracy,　and　an　accurate　and　effective　reference　basis　for　the　optimization　design　for　uniform　deformation　is　provided　and　the　calculation　efficiency　is　improved.　©　2020,　Editorial　Office　of　Journal　of　Vibration　and　Shock.　All　right　reserved.