This　paper　addresses　the　problem　of　multi-objective　coalition　formation　for　task　allocation.　In　disaster　rescue,　due　to　the　dynamics　of　environments,　heterogeneity　and　complexity　of　tasks　as　well　as　limited　available　agents,　it　is　hard　for　the　single-objective　and　single　(task)-to-single　(agent)　task　allocation　approaches　to　handle　task　allocation　in　such　circumstances.　To　this　end,　two　multi-objective　coalition　formation　for　task　allocation　models　are　proposed　for　disaster　rescues　in　this　paper.　First,　through　coalition　formation,　the　proposed　models　enable　agents　to　cooperatively　perform　complex　tasks　that　cannot　be　completed　by　single　agent.　In　addition,　through　adjusting　the　weights　of　multiple　task　allocation　objectives,　the　proposed　models　can　employ　the　linear　programming　to　generate　more　adaptive　task　allocation　plans,　which　can　satisfy　different　task　allocation　requirements　in　disaster　rescue.　Finally,　through　employing　the　multi-stage　task　allocation　mechanism　of　the　dynamic　programming,　the　proposed　models　can　handle　the　dynamics　of　tasks　and　agents　in　disaster　environments.　Experimental　results　indicate　that　the　proposed　models　have　good　performance　on　coalition　formation　for　task　allocation　in　disaster　environments,　which　can　generate　suitable　task　allocation　plans　according　to　various　objectives　of　task　allocation.