智能優(yōu)化方法在網(wǎng)格資源調(diào)度問題上的研究

1、浙江大學(xué)計(jì)算機(jī)學(xué)院碩士學(xué)位論文智能優(yōu)化方法在網(wǎng)格資源調(diào)度問題上的研究姓名：王云申請學(xué)位級別：碩士專業(yè)：計(jì)算機(jī)應(yīng)用指導(dǎo)教師：楊建剛20100120浙江人學(xué)碩f：學(xué)位論文AbstractAbstractIntelligentOptimizationisakindofnewtechnologywhichfocusesontheresearchofwhatkindofsolutioniSthebestandhowtofindthebestsol

2、utionWiththedevelopmentofscienceandtechnologyagrowingnumberofscholarspayattendtothisfield，andspeciallyinrecentdecades，thefastdevelopmentofcomputertechnologyprovideseffectivetoolstotheoptimizationandmakesarapidlyimproveme

3、ntThispaperstudiestheprincipleofintelligentoptimizationalgorithmsanditsapplicationinthetaskschedulingproblemonthegridapplicationsOfmanyOptimizationalgorithmsthemainstudyaregeneticalgorithms，simulatedannealingalgorithm，an

4、dpredatorysearchalgorithmDifferentresearchmethodsareusedbasedonthecharacterofintelligentoptimizationalgorithmsinthispaperForexample，thegeneticalgorithmfocusesontherelationshipbetweentheoptimizationresultsandtheparameters

5、，suchasmutationprobabilitygroupscale，etcThesimulatedannealingalgorithmstudiestheinfluenceontheinitialtemperatureAndthepredatorysearchstudiesthedifferencebetweentraditionalpredatorysearchalgorithmandmodifiedpredatorysearc

6、halgorithmHence，theresearchonoptimizationalgorithmisofboththeoreticsignificanceandpracticalvalueThispaperconsistsofthreepartsFirstlyitgivesabrieflyintroductiontothetaskschedulingproblemofthegridapplicationsSecondlythispa

7、perintroducessometypicalintelligentoptimizationalgorithmstheories，implementsandapplicationonthetaskschedulingproblemofthegridapplication，andatthesanletime，givessomecommentsontheseintelligentoptimizationalgorithmsandshows

8、thewayonhowtoimprovethemAtlast，thispapergivesasummarizationandprospectonthoseintelligentoptimizationalgorithmsKeywords：Taskschedulingproblemonthegrid，geneticalgorithm，simulatedannealing，predatorysearchalgorithm，Minminalg