Thermally　induced　apoptosis　for　tumors　depends　mainly　on　the　intrinsic　characteristics　of　biological　tissues　as　well　as　treatment　temperature　profile　during　magnetic　hyperthermia.　Further,　treatment　temperature　distribution　inside　tumor　depends　on　the　injection　behavior　of　irregular　tumors,　such　as　the　injection　dose　and　the　injection　location　of　nanofluids.　In　order　to　improve　the　treatment　effect,　the　simulated　annealing　algorithm　is　adopted　in　this　work　to　optimize　the　nanofluid　injection　behavior,　and　the　improved　Arrhenius　model　is　used　to　evaluate　the　malignant　ablations　for　three　typical　malignant　tumor　cell　models.　In　addition,　both　the　injection　behavior　optimization　and　the　mass　diffusion　of　nanofluid　are　both　taken　into　consideration　in　order　to　improve　the　treatment　effect.　The　simulation　results　demonstrate　that　the　injection　behavior　can　be　optimized　effectively　by　the　proposed　optimization　method　before　therapy,　the　result　of　which　can　also　conduce　to　improving　the　thermal　apoptosis　possibility　for　proposed　typical　malignant　cells.　Furthermore,　an　effective　approach　is　also　employed　by　considering　longer　diffusion　duration　and　correct　power　dissipation　at　the　same　time.　The　results　show　that　a　better　result　can　then　be　obtained　than　those　in　other　cases　when　the　power　dissipation　of　MNPs　is　set　to　be　Q(MNP)　=　5.4　x　10(7)　W.m(3)　and　the　diffusion　time　is　16　h.