thod,genetic-algorithm-basednumericalanalysismethod,isdeveloped.themethod,takingcandidatesolutioofaflowfieldastheindividualstobeevolved,andsomeerrorsofthesolutioinsatisfyingcertaincoervationlaws(e.g.,macoervation,energycoervation,etc.)withincontrolacesasthemeasuresoftheirfitnees,solvestheflowfieldthroughgeneticalgorithms.thecalculationofthecoervationerrorsandtheformationoftheindividuals’fitnefunctionarepreliminarilystudied.thenewmethodologyisillustratedwithanalyzingtheflowfieldofasimple2-dimeionalcirculardiffusercascade.thecomputationalresultsobtainedareencouraging.itpre

liminarilyshowsthatgeneticalgorithmshaveabigpotentialitytocascadeflowfieldanalysis.fromtheviewofthispoint,itishopefullythat,throughourdiligentwork,anewkindofcfdmethodseentiallydifferentwiththeexistingmethodscanverypoiblybedeveloped.

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