utionmaybyglobaloptimum.
thisdiertationaimsatintroductionofgeneticalgorithmsintothedesignofthestationary
cascadesofcentrifugalcompreors.somegooddevelopmentsandsystematicstudiesarefirstcarriedoutinalicationofgeneticalgorithmstothisarea.theresearchesandtherelatingresultsobtainedinthediertationarebroadandpracticalinengineeringaellatio.themajorworksinclude:
1.basedonthecoiderationofcomplexitiesfromtheoptimizationproblemsoftheaerodynamiccascades,theexitingstandardgeneticalgorithmisimprovedinordertouseittosolvethecascadeoptimizationproblemsmoreefficiently.threemodifiedgeneticalgorithms,namely,dualfitnegeneticalgorithm,directionevolutionarygeneticalgorithmandprobabilitybinarysearchgeneticalgorithm,areproposed.inthedualfitnegeneticalgorithm,adualfunctionoftheobjectivefunctionoptimizedispresented.thedualfunctionisthenembeddedintothestandardgeneticinordertomakethemutationoperationbeingperformedadaptivelywithdifferentprobabilitiesandsoastomakethealgorithmhavinghighergloballysearchingability.inthedirectionevolutionarygeneticalgorithm,anewgene
ticoperator,directionevolutionaryoperator,isproposed,thisoperatordirectsmutationoperatioofachildindividualaccordingtotheevolutiontendencyofitsgrandparentandparentindividuals.withthemutationoperation,theindividualcanbeyieldedinanoptimumregionwithahighprobability.intheprobabilitybinarysearchgeneticalgorithm,thebehaviourofthebinarycomponentsateachallelelocatioofachromosomearestatisticallyrecordedandareusedtoproduceasetoffreshsolutiot
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