The　study　of　emergency　decision　making　(EDM)　is　helpful　to　reduce　the　difficulty　of　decision　making　and　improve　the　efficiency　of　decision　makers　(DMs).　The　purpose　of　this　paper　is　to　propose　an　innovative　genetic　algorithm　for　emergency　decision　making　under　resource　constraints.　Firstly,　this　paper　analyzes　the　emergency　situation　under　resource　constraints,　and　then,　according　to　the　prospect　theory　(PT),　we　further　propose　an　improved　value　measurement　function　and　an　emergency　loss　levels　weighting　algorithm.　Secondly,　we　assign　weights　for　all　emergency　locations　using　the　best-worst　method　(BWM).　Then,　an　improved　genetic　algorithm　(GA)　based　on　prospect　theory　(PT)　is　established　to　solve　the　problem　of　emergency　resource　allocation　between　multiple　emergency　locations　under　resource　constraints.　Finally,　the　analyses　of　example　show　that　the　algorithm　can　shorten　the　decision-making　time　and　provide　a　better　decision　scheme,　which　has　certain　practical　significance.　©　2019　by　the　authors.