There　are　many　methods　to　improve　the　accuracy　of　GM(1,1)　model　and　the　Swarm　intelligent　algorithms　can　be　used　to　optimize　the　development　coefficient　and　grey　action　quantity　of　GM(1,1)　model　effectively.　In　this　paper,　an　optimization　GM(1,1)　model　about　identifying　the　parameters　is　proposed,　which　takes　the　minimum　of　the　average　relative　error　as　the　objective　function.　Moreover,　an　improved　artificial　fish　swarm　algorithm　is　designed　to　solve　the　optimization　model.　The　simulation　results　show　that　the　proposed　method　may　enhance　the　precision　of　GM(1,1)　model,　which　has　a　better　performance　than　Particle　Swarm　Optimization.　©　2011　IEEE.