Background:　Although　stents　have　great　success　of　treating　cardiovascular　disease,　it　actually　undermined　by　the　in-stent　restenosis　and　their　long-term　fatigue　failure.　The　geometry　of　stent　affects　its　service　performance　and　ultimately　affects　its　fatigue　life.　Besides,　improper　length　of　balloon　leads　to　transient　mechanical　injury　to　the　vessel　wall　and　in-stent　restenosis.　Conventional　optimization　method　of　stent　and　its　dilatation　balloon　by　comparing　several　designs　and　choosing　the　best　one　as　the　optimal　design　cannot　find　the　global　optimal　design　in　the　design　space.　In　this　study,　an　adaptive　optimization　method　based　on　Kriging　surrogate　model　was　proposed　to　optimize　the　structure　of　stent　and　the　length　of　stent　dilatation　balloon　so　as　to　prolong　stent　service　life　and　improve　the　performance　of　stent.　Methods:　A　finite　element　simulation　based　optimization　method　combing　with　Kriging　surrogate　model　is　proposed　to　optimize　geometries　of　stent　and　length　of　stent　dilatation　balloon　step　by　step.　Kriging　surrogate　model　coupled　with　design　of　experiment　method　is　employed　to　construct　the　approximate　functional　relationship　between　optimization　objectives　and　design　variables.　Modified　rectangular　grid　is　used　to　select　initial　training　samples　in　the　design　space.　Expected　improvement　function　is　used　to　balance　the　local　and　global　searches　to　find　the　global　optimal　result.　Finite　element　method　is　adopted　to　simulate　the　free　expansion　of　balloon-expandable　stent　and　the　expansion　of　stent　in　stenotic　artery.　The　well-known　Goodman　diagram　was　used　for　the　fatigue　life　prediction　of　stent,　while　dogboning　effect　was　used　for　stent　expansion　performance　measurement.　As　the　real　design　cases,　diamond-shaped　stent　and　sv-shaped　stent　were　studied　to　demonstrate　how　the　proposed　method　can　be　harnessed　to　design　and　refine　stent　fatigue　life　and　expansion　performance　computationally.　Results:　The　fatigue　life　and　expansion　performance　of　both　the　diamond-shaped　stent　and　sv-shaped　stent　are　designed　and　refined,　respectively.　(a)　diamond-shaped　stent:　The　shortest　distance　from　the　data　points　to　the　failure　line　in　the　Goodman　diagram　was　increased　by　22.39%,　which　indicated　a　safer　service　performance　of　the　optimal　stent.　The　dogboning　effect　was　almost　completely　eliminated,　which　implies　more　uniform　expansion　of　stent　along　its　length.　Simultaneously,　radial　elastic　recoil　(RR)　at　the　proximal　and　distal　ends　was　reduced　by　40.98　and　35%　respectively　and　foreshortening　(FS)　was　also　decreased　by　1.75%.　(b)　sv-shaped　stent:　The　shortest　distance　from　the　data　point　to　the　failure　line　in　the　Goodman　diagram　was　increased　by　15.91%.　The　dogboning　effect　was　also　completely　eliminated,　RR　at　the　proximal　and　distal　ends　was　reduced　by　82.70　and　97.13%,　respectively,　and　the　FS　was　decreased　by　16.81%.　Numerical　results　showed　that　the　fatigue　life　of　both　stents　was　refined　and　the　comprehensive　expansion　performance　of　them　was　improved.　Conclusions:　This　article　presents　an　adaptive　optimization　method　based　on　the　Kriging　surrogate　model　to　optimize　the　structure　of　stents　and　the　length　of　their　dilatation　balloon　to　prolong　stents　fatigue　life　and　decreases　the　dogboning　effect　of　stents　during　expansion　process.　Numerical　results　show　that　the　adaptive　optimization　method　based　on　Kriging　surrogate　model　can　effectively　optimize　the　design　of　stents　and　the　dilatation　balloon.　Further　investigations　containing　more　design　goals　and　more　effective　multidisciplinary　design　optimization　method　are　warranted.