In　the　optimization　design　of　the　electromagnetic　repulsion　mechanism　in　finite　element　simulation,　there　are　problems　of　high　computational　cost　and　long　optimization　time.　To　shorten　the　development　cycle　of　the　prototype　and　improve　the　efficiency　of　optimization,　an　optimization　algorithm　based　on　the　Hybrid　Infill　Criterion　and　Kriging　Surrogate　Model　(HIC-KSM)　is　proposed　by　organically　combining　the　Expected　Improvement　(EI)　infill　criterion　and　the　Pareto　front　infill　criterion　to　make　full　use　of　the　performance　of　parallel　computation　and　to　accelerate　the　convergence　speed　of　the　algorithm.　The　proposed　algorithm　is　compared　with　the　other　optimization　algorithms,　the　optimization　results　of　five　multi-objective　test　functions　are　compared　to　verify　the　efficiency　of　the　proposed　algorithm,　and　the　algorithm　is　applied　to　the　parameter　optimization　of　the　electromagnetic　repulsion　mechanism.　　©　2024　Published　under　licence　by　IOP　Publishing　Ltd.