With　the　recent　technological　progress　and　the　reduction　of　manufacturing　costs,　UAVs　have　attracted　more　and　more　attention　in　various　applications　such　as　cargo　transportation,　shooting,　rescue　and　search,　as　well　as　wireless　platforms.　UA　V　is　very　important　in　wireless　area　because　it　is　able　to　help　improve　communication　quality.　In　the　wireless　network　edge　computing　scenario,　a　low　delay　oriented　multi-UA　V　computation　offloading　service　strategy　is　proposed.　Wireless　network　base　stations　usually　work　in　multi-channel　environment.　There　are　multiple　UA　V　devices　to　achieve　effective　access　coordination　to　meet　the　challenge　of　computation　offloading.　Aiming　at　the　problem　of　resource　constraints　in　computation　offloading,　a　resource　optimal　allocation　model　and　a　discrete　bat　algorithm　for　multi-UA　V　equipment　energy　consumption,　transmission　delay　and　computing　delay　are　proposed.　Compared　with　other　swarm　intelligence　optimization　algorithms,　this　algorithm　can　effectively　shorten　the　average　delay　of　task　offloading.　©　2022　IEEE.