简介：Tosolvetheproblemoflowefficiencyinpiperoutingdesign,animprovedgeneticalgorithmbasedapproachisproposed.Topresentthisapproach,thepapermainlydescribesagenerationmethodofnodesconsideringthesafetydistanceofpipesandthedirectionalconstraintsatterminals,thedefinitionofadoublecodingtechnique,thecollisiondetectionmethod,theconceptofenergyandthedefinitionoffitnessfunctions.Thesimilaritydetectionisintroducedtopreventclosebreedinginthecrossoveroperator,theselectionpressureiscontrolledaccordingtotheevolutionsituationandaheuristicmutationmethodisusedtoboosttheevolution.Simulationcaseshowsthatthisapproachismorepracticalandcansatisfydifferentdesignrequirementsbychangingalgorithmparameters.

简介：Inordertoovercomethepoorlocalsearchabilityofgeneticalgorithm,resultinginthebasicgeneticalgorithmistime-consuming,andlowsearchabilityinthelateevolutionary,weusethegraycodinginsteadofbinarycodingatthebeginningofthecoding;weusemulti-pointcrossovertoreplacetheoriginalsingle-pointcrossoveroperation.Finally,theexperimentshowsthattheimprovedgeneticalgorithmnotonlyhasastrongsearchcapability,butalsothestabilityhasbeeneffectivelyimproved.

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简介：Basedonthenichegeneticalgorithm,theintelligentandoptimizingmodelfortherollingforcedistributioninhotstripmillswasputforward.Theresearchshowedthatthemodelhadmanyadvantagessuchasfastsearchingspeed,highcalculatingprecisionandsuitingforon-linecalculation.Agoodstripshapecouldbeachievedbyusingthemodelanditisappropriateandpracticableforrollingproducing.

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简介：Stepper马达驾驶系统广泛地在工业应用程序被使用。他们主要为他们的低花费的开环的高效被使用。然而，同样有活力的系统需要逐渐地更快并且他们的运动更精确，有精确、可靠的一个开环的系统是重要的。在这份报纸，我们在场一个基因算法(GA)在基于查找桌子途径的一种新奇技术被用来发现一个开环的stepper马达系统的最佳的走顺序。最佳的顺序目的是最小化剩余颤动并且精确地跟随轨道。一个基因算法被用来发现最小化错误并且改进系统表演的最好走的顺序。数字模拟显示了我们的途径的有效性为位置和速度改进系统性能。优化系统减少了剩余颤动并且能与最小的错误跟随轨道。