In　this　research,　a　hybrid　of　surrogate　model　and　Multi-island　genetic　algorithm　(MIGA)　is　proposed　for　optimization　and　compensation　of　steady-state　flow　force　on　water　hydraulic　high-speed　on-off　valve　(HSV)　driven　by　voice　coil　motor.　Firstly,　a　dynamic　model　on　the　spool　of　HSV　is　established,　and　the　effects　of　spool　displacement,　spool　half-cone　angle,　valve　stem　diameter　and　inlet　pressure　on　the　steady-state　flow　force　of　HSV　are　analyzed　through　the　CFD　simulation.　Secondly,　a　quadratic　response　surface　model　is　set　up　based　on　design　of　experiment　(DOE)　to　analyze　interactions　of　key　parameters　on　steady-state　flow　force.　MIGA　is　proposed　to　optimise　the　structural　parameters　of　HSV,　and　the　optimization　results　are　analyzed　and　verified　by　CFD　simulations.　Simulation　results　demonstrate　that　the　steady-state　flow　force　is　reduced　significantly.　Finally,　the　steady-state　flow　force　in　the　optimized　structure　of　HSV　is　also　verified　experimentally.　The　experiment　results　exhibit　that　the　optimized　spool　can　compensate　about　71%　for　the　steady-state　flow　force,　then　reduce　about　15%　the　energy　consumption　of　HSV.　This　research　will　provide　the　guide　for　the　design　and　engineering　application　of　HSV.