ICM　(Independent　Continuous　Mapping)　method　can　solve　topological　optimization　problems　with　the　minimized　weight　as　the　objective　and　subjected　to　displacement　constraints.　To　get　a　clearer　topological　configuration,　by　introducing　the　discrete　condition　of　topological　variables　and　integrating　with　the　original　objective,　an　optimal　model　with　multi-objectives　is　formulated　to　make　the　topological　variables　approach　0　or　I　as　near　as　possible,　and　the　model　reduces　the　effect　of　deleting　rate　on　the　result.　The　image-filtering　method　is　employed　to　eliminate　the　checkerboard　patterns　and　mesh　dependence　that　occurred　in　the　topology　optimization　of　a　continuum　structure.　The　computational　efficiency　is　enhanced　through　selecting　quasi-active　displacement　constraints　and　a　design　region.　Numerical　examples　indicate　that　this　algorithm　is　robust　and　practicable,　though　the　number　of　iterations　is　slightly　increased　with　respect　to　the　original　algorithm.