欢迎来到天天文库
浏览记录
ID:31979287
大小:10.16 MB
页数:91页
时间:2019-01-30
《基于进化算法的鲁棒优化方法与其在模拟电路设计中的应用-研究》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库。
1、AbstractABSTARCTTherearealotofoptimizationproblemsinengineeringpracticeandscientificresearch.Thetraditionaloptimizationproblemsfocusontheglobaloptimalsolutions.Theactualperformanceofthesolutionswhichareverysensitivetointerferenceisoftennotgood.Tllisisbecaus
2、ealotofnoiseaffectstheactualperformanceoftheorysolutions,forexample,theparameterdrift,temperaturechangesandotherinterference.Inconsiderationofinterferenceintheactualenvironment,therobustoptimizationfocusesonboththeperformanceandrobustnessofsolutions.Inreali
3、tytheoptimizationproblemsareallrobustoptimizationproblemsbecauseoftheubiquitousinterference,SOthereisawiderangeofpracticalsignificancetostudytherobustoptimization.nlepaperstudiesontherobustoptimizationandtheirapplicationinanalogcircuitdesign.Themaincontribu
4、tionincludes:1.ExperimentalstudyoftherobustoptimalsolutionsiSdoneinthethesis.Therobustnessevaluationmethodsbasedontheaverageandtheworstcasearesummarized.Wedesignsomeexperimentstotesttheeffectofevolutionaryalgorithmforrobustoptimizationproblem,alsoabouttheke
5、yfactorsinthisproblem,forexample,theinterferencefieldsize,samplingfrequency,samplingmethod.2.Tosolvetherobustoptimizationproblembasedontheaverageevaluation,weproposeanimprovedalgorithmbasedonthebootstrapmethods.TheimprovedalgorithmCanapproximateeffectiveobj
6、ectivefunctionmoreaccuratelywithoutincreasingthesamplingfrequency.Theadvantagesofthealgorithmareverifiedontheexperiment.Wealsostudyinfluenceofthekeyfactorsontheperformanceofthealgorithm.3.Tosolvetherobustoptimizationproblembasedontheworstcase,wetransfertheo
7、riginalproblemintominimaxproblem,andusethecoevolutionaryalgorithmtofindtherobustoptimalsolutions.Theadvantagesofthealgorithmareverifiedontheexperiment.Theimportantfactorsarealsostudied,forexample,therealfitnessandthefitnessdeviation.4.Analogcircuitsareextre
8、melysensitivetointerference,andevolutionarydesignofanalogcircuitsistime-consumingandcostly.Tosolvethis,thenovelrobustoptimizationalgorithmbasedonbootstrapmethodisappliedtotheparameteroptimizationofanal
此文档下载收益归作者所有