With　the　development　of　mobile　Internet　era,　mobile　terminal　equipment　has　become　an　indispensable　tool　in　people＇s　daily　life.　In　order　to　improve　the　user　experience　and　ease　the　endurance　of　mobile　terminals,　this　paper　studies　the　task　offloading　strategy　for　optimizing　the　energy　consumption　of　mobile　terminals.　At　present,　most　of　the　research　only　focuses　on　a　single　cloud　offload　and　edge　offload,　and　the　research　on　reducing　the　energy　consumption　of　mobile　terminals　is　insufficient.　In　order　to　further　reduce　the　energy　consumption　of　mobile　terminal　equipment　and　improve　the　utilization　of　computing　resources,　this　paper　proposes　a　cloud-edge-terminal　multi-computing　resource　cooperation　task　offloading　model,　and　then　designs　a　fitness　calculation　method　for　this　model,　and　proposes　a　multi-computing　resources　cooperation　energy　optimization　algorithm　based　on　particle　swarm　optimization　algorithm.　Experiments　show　that,　compared　with　the　existing　four　offloading　strategies,　the　proposed　algorithm　can　fully　reduce　the　energy　consumption　of　mobile　terminal　devices　while　meeting　the　requirements　of　user　delay,　and　has　advantages　in　large-scale　task　offloading.　©　2021　IEEE.