简介：Inviewofthepoorwatersupplysystem'snetworkproperties,thesystem'scomplicatednetworkhydraulicequationswerereplacedbymacroscopicnodalpressuremodelandthemodelofrelationshipbetweensupplyflowandwatersourcehead.Byusingpump-stationpressureheadandinitialtankwaterlevelsasdecisionvariables,themodelofoptimalallocationofwatersupplybetweenpump-sourceswasdeveloped.Geneticalgorithmwasintroducedtodealwiththemodelofoptimalallocationofwatersupply.Methodsforhandlingeachconstraintconditionwereputforward,andovercometheshortcomingsuchasprematureconvergenceofgeneticalgorithm;asolvingmethodwasbroughtforwardinwhichgeneticalgorithmwascombinedwithsimulatedannealingtechnologyandself-adaptivecrossoverandmutationprobabilitieswereadopted.Anapplicationexampleshowedthefeasibilityofthisalgorithm.

简介：在这篇论文，由前面、向后的模型组成的一个数学模型在一个传播动力系统为差错诊断在平行基因算法(针网阵列)上被造。减少差错节的规模的一个新方法在前面的模型被开发，传递接口(MPI)途径的消息被全球单个人口的主人奴隶方法(GPGA)选基因算法到平行。建议途径被用于由28节，84个保护的继电器和40个电路断路器组成的一个样品系统。模拟结果证明新模型能在大规模动力系统的联机应用程序基于GPGA完成很快的计算。

简介：Tubinecascadeoptimumdesign,thetypicalnon-convexoptimalproblem,haslongbeenadesignchallengeintheengineeringfields.ThenewtypehybridGeneticAlgorithms-wholeannealingGeneticAlgorithmshavebeendevelopedinthispaper,Simulatedannealingselectionandnon-uniformmutationareadoptedinthewholeannealingGeneticAlgorithms.WholeannealingGeneticAlgorithmsoptimalperformancehavebeentestedthroughmathematicaltestfunctions.Onthisbasis,turbinecascadeinversedesignusingwholeannealingGeneticAlgorithmshaebeenpresented.TheB-Splinefunctionisappliedtorepresentthecascadeshape,C-typegridandGodunovschemeareadoptedtoanalysisthecascadeaerodynamicperformance.Theoptimalproblemaimstoobtainancascadeshapefromdifferentinitialcascadethroughthegiventargetpressuredistribution.Theoptimumcascadeshapeisinwellagreementwiththetargetcascadeshape.ThenumericalresultsshowthatthewholeannealingGeneticAlgorithmsarethepowerfuloptimumtoolsforturbineoptimumdesignorothercomplexengineeringdesignproblems.

简介：Anapproachforgeneratinginteractive3Dgraphicalvisualizationofthegeneticarchitecturesofcomplextraitsinmultipleenvironmentsisdescribed.3Dgraphicalvisualizationisutilizedformakingimprovementsontraditionalplotsinquan-titativetraitlocus(QTL)mappinganalysis.Interactive3DgraphicalvisualizationforabstractexpressionofQTL,epistasisandtheirenvironmentalinteractionsforexperimentalpopulationswasdevelopedinframeworkofuser-friendlysoftwareQTLNetwork(http://ibi.zju.edu.cn/software/qtlnetwork).Noveldefinitionofgraphicalmetasystemandcomputationofvirtualcoordinatesareusedtoachieveexplicitbutmeaningfulvisualization.Interactive3DgraphicalvisualizationforQTLanalysisprovidesgeneticistsandbreedersapowerfulandeasy-to-usetooltoanalyzeandpublishtheirresearchresults.

简介：Thealternatecombinationalapproachofgeneticalgorithmandneuralnetwork(AGANN)hasbeenpresentedtocorrectthesystematicerrorofthedensityfunctionaltheory(DFT)calculation.IttreatstheDFTasablackboxandmodelstheerrorthroughexternalstatisticalinformation.Asademonstration,theAGANNmethodhasbeenappliedinthecorrectionofthelatticeenergiesfromtheDFTcalculationfor72metalhalidesandhydrides.ThroughtheAGANNcorrection,themeanabsolutevalueoftherelativeerrorsofthecalculatedlatticeenergiestotheexperimentalvaluesdecreasesfrom4.93%to1.20%inthetestingset.Forcomparison,theneuralnetworkapproachreducesthemeanvalueto2.56%.Andforthecommoncombinationalapproachofgeneticalgorithmandneuralnetwork,thevaluedropsto2.15%.Themultiplelinearregressionmethodalmosthasnocorrectioneffecthere.

简介：这篇论文由电压来源在高力量的感应电动机美联储为全部的泛音电流失真(THCD)的最小化论述基因算法(GA)的强大的应用转换ers，基于一个近似泛音模型。也就是说定义一个需要的基础输出电压，当最小化THCD时，最佳的脉搏模式(切换的角度)决心生产基本产量电压。在脉搏宽度调整(PWM)的开始的1/4个时期的三和五切换的片刻的二个盒子的完全的结果波形被介绍。在定子刺激的泛音的存在导致一个阿富汗辅币转矩部件。就如果阿富汗辅币转矩在低频率，他们能在反馈控制系统引起麻烦速度变化，柄疲劳，和不能令人满意的性能的事实而言，第5，第7，第11，并且第13当前的泛音(在五个切换的角度的情况中)在一些预先指定的价值被抑制，减轻低频率的泛音的有害效果。同时，当要求的基本产量电压被维持时，THCD被优化。