面向服务集成的服务资源逆优化配置-研究

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1、single-schemeisbuilt.Thismodelisestablishedonthebasisofthemodelforoptimalallocationofserviceresourcesinmulti-schemes.Takenintoaccountthatthemodelmayhappentobeno-solution,thispaperbuildstheinverseoptimizationmodelbyusingtheinverseoptimizationforlinearprogramming.Intheinverseoptimiza

2、tionmodel,thevalueoftheabilityofobjectivefunctionischanged.Throughtheadjustmentforthecapacityofserviceresources,serviceproviderscanoptimizetheseandmakethebestbenefit.Finally,thispaperanalyzestheeffectivenessinspecificcasesofthelistedtwomodels.Accordingtotheresultsoftheapplicationfo

3、rthesemodels,serviceproviderscangetthecompatibleoptimalallocationofserviceresourcesneededtomeetcustomers’usage.Thesemodelsprovideagreatchanceforserviceprovidersthattheycanreachtheoptimalallocationofresourcesinthefuture.Keywords:inverseoptimization,serviceintegration,allocationofres

4、ources,services-integratedschemeIII万方数据目录第一章绪论..........................................................................................................................................11.1选题背景与意义.......................................................................................

5、.................................11.1.1研究背景.........................................................................................................................11.1.2研究的目的与意义........................................................................................................

6、...21.2国内外研究现状........................................................................................................................21.2.1服务集成的研究现状.......................................................................................................21.2.2服务资源优化配置的研究现状...........

7、..............................................................................41.2.3逆优化的研究现状...........................................................................................................61.3研究目标与研究内容......................................................................

8、..........................