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用基于3D-BSSG结构的解空间平滑算法解决时序规划问题(英文) Abstract Timeseriesplanningisanimportantproblemthatarisesinvariousdomains,suchasfinance,logistics,andmanufacturing,amongothers.However,solvingthisproblemrequiresaddressingseveralchallenges,includingtheneedtohandlelargeamountsofdata,complexconstraints,anduncertainties.Toovercomethesechallenges,weproposeanovelalgorithmbasedonthethree-dimensionalblocksparsestructuregroup(3D-BSSG)modeltosolvethetimeseriesplanningproblem.Inthispaper,weprovideanoverviewoftheproposedalgorithm,includingitskeycomponentsandfeatures,andpresentexperimentalresultstodemonstrateitseffectivenessandefficiency.Ourresultsshowthattheproposedalgorithmcanprovidehigh-qualitysolutionsinatimelyandefficientmanner,makingitavaluabletoolforsolvingtimeseriesplanningproblems. Introduction Timeseriesplanningisanessentialprobleminmanydomains,includingfinance,logistics,andmanufacturing.Itinvolvesmakingdecisionsabouthowtoallocateresourcesovertimetoachievespecificgoals,suchasmaximizingprofits,minimizingcosts,ormeetingproductiontargets.However,solvingthisproblemischallengingduetoseveralfactors,includingtheneedtohandlelargeamountsofdata,complexconstraints,anduncertainties. Toaddressthesechallenges,severalalgorithmshavebeenproposedbasedondifferentmathematicalmodels,suchaslinearprogramming,stochasticprogramming,anddynamicprogramming,amongothers.However,thesealgorithmssufferfromvariouslimitations,suchasscalability,robustness,andefficiency.Therefore,thereisaneedfornewalgorithmsthatcanovercometheselimitationsandprovidehigh-qualitysolutionsinatimelyandefficientmanner. Inthispaper,weproposeanovelalgorithmbasedonthe3D-BSSGmodeltosolvethetimeseriesplanningproblem.Theproposedalgorithmisdesignedtohandlelarge-scaleproblemswithcomplexconstraintsanduncertainties,makingitsuitableforawiderangeofapplications.Inthefollowingsections,weprovideanoverviewoftheproposedalgorithm,includingitskeycomponentsandfeatures,andpresentexperimentalresultstodemonstrateitseffectivenessandefficiency. The3D-BSSGModel The3D-BS

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