Mechanical　attributes　of　interest　are　always　mutually　exclusive　in　the　design　process　of　tape　spring　hinge.　Here　we　present　a　complete　optimization　framework　consisting　of　computational　mechanics,　optimization　design,　engineering　application,　and　experimental　research　to　compromise　mechanical　attributes　such　that　an　optimal　solution　set　can　be　obtained　to　provide　design　strategies　for　engineering　practices.　Tape　spring　hinge　in　folding　and　unfolding　processes　with　large　non-linearity　is　firstly　simulated　using　quasi-static　analysis　technique.　During　the　quasi-static　process,　the　ratio　of　kinetic　energy　to　strain　energy　is　observed　to　determine　mass　scaling　parameters　that　measure　the　precision　of　analysis.　Based　on　the　parameters　analyzed,　moment-rotation　responses　of　tape　spring　hinge　in　quasi-static　folding　and　unfolding　processes　are　investigated　and　experimentally　verified.　Yield　theory　derived　from　the　combination　of　thin　shell　theory　and　Tresca　yield　criterion　is　introduced　to　control　the　yield　of　the　hinge　during　folding　and　deploying　processes.　In　addition,　tape　spring　hinge　is　released　transiently　when　in　spatial　conditions;　thus　the　fundamental　frequency　is　calculated　and　selected　herein　to　be　a　measurement　of　stiffness　that　is　maximized　to　avoid　the　vibration.　Then　a　multi-objective　optimization　model　is　established　using　the　derived　yield　theory　control　equation　and　critical　moment　as　optimization　constraints,　with　the　fundamental　frequency　and　strain　energy　as　objectives.　The　non-dominated　sorting　genetic　algorithm　is　used　to　solve　the　optimization　model,　and　then　feasible　solution　distribution　and　Pareto　frontier　are　obtained.　These　results　are　compared　and　discussed　with　two　additional　single-objective　optimizations.　Ultimately　we　achieve　the　optimal　design　for　tape　spring　hinge,　which　is　verified　well　with　numerical　simulation.