The　weighting　factors　method　and　the　response　surface　methodology　(RSM)　are　used　to　achieve　multi-objective　optimization　of　dielectric　layer　photonic　band　gap　(PBG)　filter　structure.　The　size　of　period　and　transmission　quantity　are　considered　simultaneously　and　multi-objective　optimization　model　of　filter　is　established,　which　takes　the　size　of　period　and　transmission　quantity　to　be　minimized　in　stop-band　as　objectives.　Then　the　model　is　treated　by　the　weighting　factors　method　and　the　RSM.　Finally,　the　model　is　converted　into　a　quadratic　programming　model　and　the　optimal　parameters　are　obtained　using　sequence　quadratic　programming.　Example　demonstrates　that　the　present　method　is　precise　and　efficient.