Juyin Halitta

Neuroevolution, ko neuro-evolution, wani nau'i ne na fasaha na wucin gadi wanda ke amfani da algorithms na Juyin Halitta don samar da Cibiyoyin sadarwa na wucin gadi (ANN), sigogi, da dokoki. Ana amfani dashi sosai a cikin Rayuwa ta wucin gadi, wasan wasa na gaba ɗaya  da robotics na Juyin Halitta. Babban fa'idar ita ce ana iya amfani da juyin halitta na neuro a ko'ina fiye da algorithms na ilmantarwa, wanda ke buƙatar tsarin karatun nau'ikan shigarwa-fitarwa daidai. Sabanin haka, juyin halitta na jijiyoyi yana buƙatar ma'auni ne kawai na aikin cibiyar sadarwa a wani aiki. Misali, sakamakon wasan (watau, ko mai kunnawa ya ci ko ya ɓace) ana iya auna shi cikin sauƙi ba tare da samar da misalai masu mahimmanci na dabarun da ake so ba. Ana amfani da Neuroevolution a matsayin wani ɓangare na tsarin ilmantarwa mai ƙarfafawa, kuma ana iya bambanta shi da dabarun ilmantarwa masu zurfi na al'ada waɗanda ke amfani da backpropagation (saukowa a kan hanyar sadarwa ta jijiyoyi) tare da daidaitaccen topology.

 Abubuwan da ke ciki 
An bayyana algorithms da yawa na juyin halitta. Ɗaya daga cikin bambance-bambance na yau da kullun shine tsakanin algorithms waɗanda ke canzawa kawai da ƙarfin ma'aunin haɗin kai don daidaitaccen tsarin cibiyar sadarwa (wani lokacin ana kiransa neuroevolution na al'ada), da algorithms waɗanda suka samo asali daga ma'auni na cibiyar sadarwa da ma'auninta (wanda ake kira TWEANNs, don Topology da Weight Evolving Artificial Neural Network algorithms).

Za'a iya yin bambanci daban tsakanin hanyoyin da ke canza tsarin ANNs a layi daya da sigogin sa (waɗanda ke amfani da daidaitattun algorithms na juyin halitta) da waɗanda ke haɓaka su daban (ta hanyar algorithms na memetic). 

 Kwatanta da saukowa 
Yawancin cibiyoyin sadarwa na jijiyoyi suna amfani da saukowar gradient maimakon neuroevolution. Koyaya, a kusa da 2017 masu bincike a Uber sun bayyana cewa sun gano cewa algorithms masu sauƙi na tsarin neuroevolution sun kasance masu gasa tare da ƙwarewar ƙwarewar masana'antu na zamani, a wani ɓangare saboda an gano cewa neuroevolution ba zai iya makale a cikin ƙananan gida ba. A cikin Kimiyya, ɗan jarida Matthew Hutson ya yi hasashen cewa wani ɓangare na dalilin da ya sa neuroevolution ya yi nasara inda ya gaza a baya saboda karuwar ikon lissafi da ke cikin shekarun 2010.

Ana iya nuna cewa akwai daidaituwa tsakanin juyin halitta da saukowa.

 Manazarta