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基于遗传算法的减速器混合离散变量优化设计 Introduction: Gearboxisoneoftheessentialcomponentsinmechanicalsystems,whichtransferpowerfromaprimemovertoaload.Thegearboxcomprisestwoprimarycomponents,theinputshaftandtheoutputshaft,whichareconnectedbyseveralgearsthattransmitpowerandtorque.Thegears'performancedependsontheirsize,material,andshape,whichaffecttheoverallgearboxperformance.Areductiongearboxisatypeofgearboxthatreducesthemotor'sspeedandtorquetodriveahigherload.Thereductiongearboxcomprisesthreeprimarycomponents,namelytheinputshaft,outputshaft,andgears.Thegearsusedinreductiongearboxaresubjectedtohighloads,whichmayleadtowearandtearofthesystem.Therefore,itisimperativetodesignthegearboxinsuchawaythatitisdurableandefficient. Inthispaper,weproposeageneticalgorithm-basedoptimizationtechniquefordesigningareductiongearbox.Theobjectiveistooptimizethegearbox'sdesignparametersandensureitisdurableandefficient. Methodology: Thegeneticalgorithmisasearchalgorithmusedtofindtheoptimalsolutiontoaproblem.Itmimicsthebiologicalprocessofnaturalselection,wherethefittestindividualssurviveandreproduce.Thealgorithmbeginswithaninitialpopulationofchromosomes,whichrepresentthedifferentpossiblesolutions.Eachchromosomeconsistsofgenes,whichrepresentthedesignparameters.Thefitnessfunctionevaluateseachchromosome,andthefittestindividualsareselectedbasedontheirfitnessvalue.Theselectedindividualsundergocrossoverandmutation,producinganewgenerationofchromosomes.Thisprocessisrepeateduntiltheoptimalsolutionisfound. Inourcase,thechromosomerepresentsthegearboxdesignparameters,whicharethegearratios,gearsizes,andgearmaterials.Thefitnessfunctionevaluatesthegearbox'sperformance,consideringtorque,power,efficiency,anddurability.Theselectioncriteriaarebasedonthefitnessvalue,wherethefittestindividualsareselectedandundergocrossoverandmutation.Thecrossoveroperationinvolvesexchangingthegenes'valuesbetweentwochromosomestoproduceanewchromosome.Themutationoperationinvolvesrandomlyalteringthegene'svaluetointroducenewsolutions.Theprocessrepeatsun