Lumped　parameter　model　(LPM)　is　a　common　numerical　model　for　hemodynamic　simulation　of　human＇s　blood　circulatory　system.　The　numerical　simulation　of　enhanced　external　counterpulsation　(EECP)　is　a　typical　biomechanical　simulation　process　based　on　the　LPM　of　blood　circulatory　system.　In　order　to　simulate　patient-specific　hemodynamic　effects　of　EECP　and　develop　best　treatment　strategy　for　each　individual,　this　study　developed　an　optimization　algorithm　to　individualize　LPM　elements.　Physiological　data　from　30　volunteers　including　approximate　aortic　pressure,　cardiac　output,　ankle　pressure　and　carotid　artery　flow　were　clinically　collected　as　optimization　objectives.　A　closed-loop　LPM　was　established　for　the　simulation　of　blood　circulatory　system.　Aiming　at　clinical　data,　a　sensitivity　analysis　for　each　element　was　conducted　to　identify　the　significant　ones.　We　improved　the　traditional　simulated　annealing　algorithm　to　iteratively　optimize　the　sensitive　elements.　To　verify　the　accuracy　of　the　patient-specific　model,　30　samples　of　simulated　data　were　compared　with　clinical　measurements.　In　addition,　an　EECP　experiment　was　conducted　on　a　volunteer　to　verify　the　applicability　of　the　optimized　model　for　the　simulation　of　EECP.　For　these　30　samples,　the　optimization　results　show　a　slight　difference　between　clinical　data　and　simulated　data.　The　average　relative　root　mean　square　error　is　lower　than　5%.　For　the　subject　of　EECP　experiment,　the　relative　error　of　hemodynamic　responses　during　EECP　is　lower　than　10%.　This　slight　error　demonstrated　a　good　state　of　optimization.　The　optimized　modeling　algorithm　can　effectively　individualize　the　LPM　for　blood　circulatory　system,　which　is　significant　to　the　numerical　simulation　of　patient-specific　hemodynamics.　(C)　2020　Elsevier　Ltd.　All　rights　reserved.