The　development　of　the　software　and　hardware　has　brought　about　the　abundance　and　overflow　of　computing　resources.　Many　Internet　companies　can　lease　idle　computing　resources　based　on　the　peak　and　valley　cycles　of　usage　load　to　provide　IaaS　service.　After　the　surging　development,　more　and　more　companies　are　gradually　paying　attention　to　the　specific　user　experience　in　cloud　computing.　But　there　are　few　works　about　that　aspect　in　load　balance　problem.　Therefore,　we　consider　the　load　balancing　resource　allocation　problem,　from　the　perspective　of　user　experience,　mainly　based　on　geographical　distance　and　regional　Equilibrium,　combined　with　user　usage　habits,　in　multiple　service　periods.　A　detailed　mathematical　definition　has　been　established　for　this　problem.　This　article　proposes　a　mathematical　model　for　the　problem,　along　with　an　modified　CMA-ES　(Covariance　Matrix　Adaptation　Evolution　Strategy)　algorithm,　called　WS-ESS-CMA-ES　algorithm,　to　allocate　computing　resources　and　solve　the　above　problem.　The　process　of　using　the　proposed　algorithm　to　solve　the　problem　of　cloud　computing　resource　allocation　in　real　scenarios　is　simulated,　and　compared　with　some　other　algorithms.　The　experiment　results　show　that　our　algorithm　performs　well.　©　The　Author(s),　under　exclusive　license　to　Springer　Nature　Singapore　Pte　Ltd　2024.