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1、424IEEETRANSACTIONSONEVOLUTIONARYCOMPUTATION,VOL.15,NO.3,JUNE2011HyperinteractiveEvolutionaryComputationBenjaminJamesBushandHirokiSayama,Member,IEEEAbstractWeproposehyperinteractiveevolutionarycompu-O’Reilly[2]stressedtheimportanceofinstillingintheusertation(HIEC),aclassofIE
2、Cinwhichtheuseractivelyastrongsenseofcontrolovertheentireevolutionaryprocess.chooseswhenandhoweachevolutionaryoperatorisapplied.Similarly,ShneidermanandPlaisant[3]requiredthatsystemToevaluatethebenefitsofHIEC,weconductedthreehuman-subjectexperiments.Thefirsttwoexperimentsshowe
3、dthatHIECusersbetheinitiatorsofactionsratherthansimplyrespondingisassociatedwithamorepositiveuserexperienceandproducedtopromptsfromthesystem.Theseprinciplesapplygenerallyhigherqualitydesigns.Thethirdexperimentdemonstratesthetoanyhuman-computerinteractivesystem,buthavenotbeen
4、potentialofHIECasaresearchtoolwithwhichonecanrecordfullyconsideredinthedesignofcurrentIECframeworks.theevolutionaryactionstakenbyhumanusers.Implications,Theselinesofresearchsuggestthatenhancingtheleveloflimitations,andfuturedirectionsofresearcharediscussed.interactionandcont
5、rolofIECmaybebeneficial.Therefore,IndexTermsCollaborativework,computerinterface,humanhereweproposehyperinteractiveevolutionarycomputationfactors,interactivecomputing,interactiveevolutionarycomputa-(HIEC),anovelformofIECinwhichahumanuseractivelytion.chooseswhenandhowtoapplyeac
6、hoftheavailableevolu-I.Introductiontionaryoperators,playingthecentralroleinthecontrolflowVOLUTIONARYcomputationhasbeensuccessfullyofevolutionarysearchprocesses(Fig.2).Eusedtooptimizealargeclassofill-behavedorotherwiseWeexpectedthatevolutionarydesignwithHIECwouldintractableobj
7、ectivefunctions.Themajorityoftheseevolu-produceamorecontrollableandpositiveuserexperience,tionarymethodsrequireanexplicitoralgorithmicdescriptionandtherebybetterdesignoutcomes,thanthosewithNIEC,ofafitnessfunctionwithwhichtoevaluatethequalityofbutpotentiallywithincreaseduserfa
8、tigueduetothemorepotentialsolutions(henceforthreferredtoas“individuals”).co
