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dc.date.accessioned2019-04-23T10:48:11Z
dc.date.available2019-04-23T10:48:11Z
dc.date.created2018-07-31T15:05:09Z
dc.date.issued2018
dc.identifier.citationMiras, Karine Haasdijk, Evert Glette, Kyrre Eiben, AE . Search Space Analysis of Evolvable Robot Morphologies. Lecture Notes in Computer Science. 2018, 10784 LNCS, 703-718
dc.identifier.urihttp://hdl.handle.net/10852/67775
dc.description.abstractWe present a study on morphological traits of evolved modular robots. We note that the evolutionary search space –the set of obtainable morphologies– depends on the given representation and reproduction operators and we propose a framework to assess morphological traits in this search space regardless of a specific environment and/or task. To this end, we present eight quantifiable morphological descriptors and a generic novelty search algorithm to produce a diverse set of morphologies for any given representation. With this machinery, we perform a comparison between a direct encoding and a generative encoding. The results demonstrate that our framework permits to find a very diverse set of bodies, allowing a morphological diversity investigation. Furthermore, the analysis showed that despite the high levels of diversity, a bias to certain traits in the population was detected. Surprisingly, the two encoding methods showed no significant difference in the diversity levels of the evolved morphologies or their morphological traits.en_US
dc.languageEN
dc.publisherSpringer Verlag
dc.titleSearch Space Analysis of Evolvable Robot Morphologiesen_US
dc.typeJournal articleen_US
dc.creator.authorMiras, Karine
dc.creator.authorHaasdijk, Evert
dc.creator.authorGlette, Kyrre
dc.creator.authorEiben, AE
cristin.unitcode185,15,5,42
cristin.unitnameForskningsgruppe for robotikk og intelligente systemer
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1
dc.identifier.cristin1599218
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Lecture Notes in Computer Science&rft.volume=10784 LNCS&rft.spage=703&rft.date=2018
dc.identifier.jtitleLecture Notes in Computer Science
dc.identifier.volume10784 LNCS
dc.identifier.startpage703
dc.identifier.endpage718
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-319-77538-8_47
dc.identifier.urnURN:NBN:no-70953
dc.type.documentTidsskriftartikkelen_US
dc.type.peerreviewedPeer reviewed
dc.source.issn0302-9743
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/67775/2/miras-evorobot2018.pdf
dc.type.versionAcceptedVersion


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