With　the　development　of　5G　and　the　enrichment　of　application　functions,　applications　have　put　forward　higher　requirements　on　the　computing　capabilities　of　terminal　devices.　In　order　to　improve　the　computing　capabilities　of　terminal　devices　on　applications　and　reduce　the　processing　time　of　tasks,　it　is　aimed　at　mobile　edge　computing　environments,　a　task　offloading　method　for　edge-cloud　collaboration　was　proposed，and　an　elite　hierarchical　evolutionary　algorithm　combined　with　reinforcement　learning　(RL-EHEA)　was　designed　to　perform　offloading　decisions,　so　that　multiple　tasks　with　dependencies　and　deadlines　compete　for　computing　resources.　The　simulation　experiment　results　show　that,　compared　with　genetic　algorithm　(GA)　and　elite　genetic　algorithm　(EGA),　RL-EHEA　can　shorten　task　processing　time　and　obtain　better　resource　allocation　strategy.　©　2022,　Beijing　Xintong　Media　Co.,　Ltd..　All　rights　reserved.