dc.contributor.author | GALVAN-LOPEZ, EDGAR | en |
dc.date.accessioned | 2011-06-27T15:49:28Z | |
dc.date.available | 2011-06-27T15:49:28Z | |
dc.date.created | 18-23 July | en |
dc.date.issued | 2010 | en |
dc.date.submitted | 2010 | en |
dc.identifier.citation | Edgar Galvan-Lopez, James McDermott, Michael O Neill and Anthony Brabazon., Defining Locality in Genetic Programming to Predict Performance, Proceedings of the 12th Annual Congress on Evolutionary Computation, CEC 2010: 12th Annual Congress on Evolutionary Computation, Barcelona, Spain, 18-23 July, IEEE Press, 2010, 1828 1835 | en |
dc.identifier.other | Y | en |
dc.description | PUBLISHED | en |
dc.description | Barcelona, Spain | en |
dc.description.abstract | A key indicator of problem difficulty in evolutionary computation problems is the landscape?s locality,
that is whether the genotype-phenotype mapping preserves
neighbourhood. In genetic programming the genotype and
phenotype are not distinct, but the locality of the genotypefitness
mapping is of interest. In this paper we extend the
original standard quantitative definition of locality to cover the
genotype-fitness case, considering three possible definitions. By
relating the values given by these definitions with the results of
evolutionary runs, we investigate which definition is the most
useful as a predictor of performance. | en |
dc.description.sponsorship | This research is based upon works supported by Science
Foundation Ireland under Grant No. 08/IN.1/I1868 and by
the Irish Research Council for Science, Engineering and
Technology under the Empower scheme. | en |
dc.format.extent | 1828-1835 | en |
dc.language.iso | en | en |
dc.publisher | IEEE Press | en |
dc.rights | Y | en |
dc.subject | Applied mathematics | en |
dc.subject | genotype-phenotype | en |
dc.title | Defining Locality in Genetic Programming to Predict Performance | en |
dc.title.alternative | Proceedings of the 12th Annual Congress on Evolutionary Computation | en |
dc.title.alternative | CEC 2010: 12th Annual Congress on Evolutionary Computation | en |
dc.type | Conference Paper | en |
dc.type.supercollection | scholarly_publications | en |
dc.type.supercollection | refereed_publications | en |
dc.identifier.peoplefinderurl | http://people.tcd.ie/galvanle | en |
dc.identifier.rssinternalid | 73785 | en |
dc.subject.TCDTheme | Genes & Society | en |
dc.identifier.rssuri | http://dx.doi.org/10.1109/CEC.2010.5586095 | en |
dc.contributor.sponsor | Science Foundation Ireland (SFI) | en |
dc.contributor.sponsorGrantNumber | 08/IN.1/I1868 | en |
dc.contributor.sponsor | Irish Research Council for Science and Engineering Technology (IRCSET) | en |
dc.identifier.uri | http://hdl.handle.net/2262/57292 | |