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Visualizing Tree Structures in Genetic Programming

dc.contributor.authorDaida, Jason M.en_US
dc.contributor.authorHilss, Adam M.en_US
dc.contributor.authorWard, David J.en_US
dc.contributor.authorLong, Stephen L.en_US
dc.date.accessioned2006-09-11T16:16:28Z
dc.date.available2006-09-11T16:16:28Z
dc.date.issued2005-03en_US
dc.identifier.citationDaida, Jason M.; Hilss, Adam M.; Ward, David J.; Long, Stephen L.; (2005). "Visualizing Tree Structures in Genetic Programming." Genetic Programming and Evolvable Machines 6(1): 79-110. <http://hdl.handle.net/2027.42/45620>en_US
dc.identifier.issn1389-2576en_US
dc.identifier.issn1573-7632en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45620
dc.description.abstractThis paper presents methods to visualize the structure of trees that occur in genetic programming. These methods allow for the inspection of structure of entire trees even though several thousands of nodes may be involved. The methods also scale to allow for the inspection of structure for entire populations and for complete trials even though millions of nodes may be involved. Examples are given that demonstrate how this new way of “seeing” can afford a potentially rich way of understanding dynamics that underpin genetic programming. The examples indicate further studies that might be enabled by visualizing structure at these scales.en_US
dc.format.extent1146552 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers; Springer Science + Business Media, Inc.en_US
dc.subject.otherComputer Scienceen_US
dc.subject.otherSoftware Engineering/Programming and Operating Systemsen_US
dc.subject.otherProgramming Techniquesen_US
dc.subject.otherProgramming Languages, Compilers, Interpretersen_US
dc.subject.otherArtificial Intelligence (Incl. Robotics)en_US
dc.subject.otherElectronic and Computer Engineeringen_US
dc.titleVisualizing Tree Structures in Genetic Programmingen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbsecondlevelPhilosophyen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.subject.hlbtoplevelHumanitiesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumCenter for the Study of Complex Systems and Department of Atmospheric, Oceanic and Space Sciences, The University of Michigan, 2455 Hayward Avenue, Ann Arbor, MI, 48109-2143, USAen_US
dc.contributor.affiliationumCenter for the Study of Complex Systems and Department of Atmospheric, Oceanic and Space Sciences, The University of Michigan, 2455 Hayward Avenue, Ann Arbor, MI, 48109-2143, USAen_US
dc.contributor.affiliationumCenter for the Study of Complex Systems and Department of Atmospheric, Oceanic and Space Sciences, The University of Michigan, 2455 Hayward Avenue, Ann Arbor, MI, 48109-2143, USAen_US
dc.contributor.affiliationumCenter for the Study of Complex Systems and Department of Atmospheric, Oceanic and Space Sciences, The University of Michigan, 2455 Hayward Avenue, Ann Arbor, MI, 48109-2143, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45620/1/10710_2005_Article_7621.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/s10710-005-7621-2en_US
dc.identifier.sourceGenetic Programming and Evolvable Machinesen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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