This　paper　aims　to　study　a　basic　grounded　dynamic　vibration　absorber　(DVA)　model　applied　in　practical　engineering　under　the　combination　of　theoretical　analysis　and　intelligent　optimization　algorithm.　The　particle　swarm　optimization　(PSO)　algorithm　searches　for　the　optimal　parameter　values　according　to　the　objective　function　in　continuous　iteration　and　self-recognition.　By　optimizing　the　single　variable,　it　can　be　found　that　the　amplitude　of　the　primary　system　after　optimization　is　significantly　reduced　and　reaches　the　effect　of　equal　peaks.　This　attempt　provides　a　reference　for　the　vibration　control　and　parameter　optimization　of　vibration　absorber.　©　2023　IEEE.