On Representation and Genetic Operators in Evolutionary Algorithms

dc.contributor.authorDroste, Stefande
dc.contributor.authorWiesmann, Dirkde
dc.date.accessioned2004-12-07T08:19:31Z
dc.date.available2004-12-07T08:19:31Z
dc.date.created1998de
dc.date.issued1998-11-08de
dc.description.abstractThe application of evolutionary algorithms (EAs) requires as a basic design decision the choice of a suitable representation of the variable space and appropriate genetic operators. In practice mainly problemspecific representations with specific genetic operators and miscellaneous extensions can be observed. In this connection it attracts attention that hardly any formal requirements on the genetic operators are stated. In this article we first formalize the representation problem and then propose a package of requirements to guide the design of genetic operators. By the definition of distance measures on the geno- and phenotype space it is possible to integrate problem-specific knowledge into the genetic operators. As an example we show how this package of requirements can be used to design a genetic programming (GP) system for finding Boolean functions.en
dc.format.extent302948 bytes
dc.format.extent392048 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/2003/5341
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-15343
dc.language.isoende
dc.publisherUniversität Dortmundde
dc.relation.ispartofseriesReihe Computational Intelligence ; 41de
dc.subject.ddc004de
dc.titleOn Representation and Genetic Operators in Evolutionary Algorithmsen
dc.typeTextde
dc.type.publicationtypereport
dcterms.accessRightsopen access

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