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比式和问题的全局优化算法 Introduction Ratiosandproportionsareusedinmanymathematicalandscientificapplications,includingfinance,chemistry,andphysics.Inoptimizationproblemsinvolvingratiosandproportions,thegoalistofindthevalue(s)oftheratiosorproportionsthatmaximizeorminimizeagivenobjectivefunction. Theglobaloptimizationalgorithmforratioandproportionproblemsseekstofindtheglobaloptimalsolutionthatsatisfiestheconstraintsimposedontheratiosorproportions.Inthispaper,wewilldiscussthedifferenttypesofoptimizationproblemsinvolvingratiosandproportions,thecharacteristicsofglobaloptimizationalgorithms,andthedifferentapproachesandmethodsusedinsolvingsuchproblems. TypesofOptimizationProblemsInvolvingRatiosandProportions Optimizationproblemsinvolvingratiosandproportionscanbeclassifiedintothreemaincategories:linearprogramming,nonlinearprogramming,andintegerprogramming. Linearprogrammingproblemsinvolvelinearfunctionssubjecttolinearconstraintsonthevariables.Theseproblemsareusuallymodeledasasetofequationsorinequalitiesinwhichtheobjectivefunctionandconstraintsarealllinear. Nonlinearprogrammingproblemsinvolvenon-linearfunctionssubjecttonon-linearconstraints.Theseproblemsareusuallymodeledasasetofequationsorinequalitiesinwhichtheobjectivefunctionandconstraintsareallnon-linear. Integerprogrammingproblemsareoptimizationproblemsinwhichsomeorallofthevariablesarerequiredtotakeintegervalues.Theseproblemsareusuallymodeledasasetofequationsorinequalitiesinwhichsomeorallofthevariablesareintegers. CharacteristicsofGlobalOptimizationAlgorithms Globaloptimizationalgorithmsaredesignedtofindtheoptimalsolutionthatsatisfiestheconstraintsimposedontheproblem.Globaloptimizationalgorithmsarecharacterizedbytheirabilitytosearchtheentirefeasibleregionfortheoptimalsolution. Themainfeaturesofglobaloptimizationalgorithmsinclude: 1.Guaranteedglobalconvergence:Globaloptimizationalgorithmsguaranteethattheoptimalsolutionisfoundwithinaspecifiedtolerancelevel. 2.Robustness:Globaloptimizationalgorithmsareabletohandleawiderangeofproblems,i