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dc.date.accessioned2019-04-23T10:08:03Z
dc.date.available2019-04-23T10:08:03Z
dc.date.created2019-01-22T14:55:25Z
dc.date.issued2018
dc.identifier.citationMiras, Karine Gansekoele, Arwin Glette, Kyrre Eiben, AE . Insights in evolutionary exploration of robot morphology spaces. Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence (SSCI 2018). 2018, 867-874 IEEE
dc.identifier.urihttp://hdl.handle.net/10852/67773
dc.description.abstractIn a recent study we have encountered an unexpected result regarding the evolutionary exploration of robot morphology spaces. Specifically, we found that an algorithm driven by selection based on morphological novelty explored fewer spots in the space of morphologies than another algorithm based on a combination of morphological novelty and some behavioral criterion (speed of movement). Here we revisit these results, perform new analyses, and obtain new insights. These insights clarify the exploration behavior of these algorithms and provide guidelines for designing selection mechanisms for evolutionary robotics.en_US
dc.languageEN
dc.publisherIEEE
dc.titleInsights in evolutionary exploration of robot morphology spacesen_US
dc.typeChapteren_US
dc.creator.authorMiras, Karine
dc.creator.authorGansekoele, Arwin
dc.creator.authorGlette, Kyrre
dc.creator.authorEiben, AE
cristin.unitcode185,15,5,42
cristin.unitnameForskningsgruppe for robotikk og intelligente systemer
cristin.ispublishedtrue
cristin.fulltextpostprint
dc.identifier.cristin1663121
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.btitle=Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence (SSCI 2018)&rft.spage=867&rft.date=2018
dc.identifier.startpage867
dc.identifier.endpage874
dc.identifier.pagecount2179
dc.identifier.urnURN:NBN:no-70938
dc.type.documentBokkapittelen_US
dc.type.peerreviewedPeer reviewed
dc.source.isbn978-1-5386-9275-2
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/67773/2/miras-ssci2018.pdf
dc.type.versionAcceptedVersion
cristin.btitleProceedings of the 2018 IEEE Symposium Series on Computational Intelligence (SSCI 2018)


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