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Coevolutive adaptation of fitness landscape for solving the testing problem

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Computación Evolutiva y Redes Neuronales (EVANNAI)es
dc.contributor.authorBerlanga de Jesús, Antonio
dc.contributor.authorIsasi, Pedro
dc.contributor.authorSanchis de Miguel, María Araceli
dc.contributor.authorMolina López, José Manuel
dc.date.accessioned2009-04-23T09:16:30Z
dc.date.available2009-04-23T09:16:30Z
dc.date.issued2000-10
dc.descriptionIEEE International Conference on Systems, Man, and Cybernetics. Nashville, TN, 8-11 October 2000
dc.description.abstractA general framework, called Uniform Coevolution, is introduced to overcome the testing problem in evolutionary computation methods. This framework is based on competitive evolution ideas where the solution and example sets are evolving by means of a competition to generate difficult test beds for the solutions in a gradual way. The method has been tested with two different problems: the robot navigation problem and the density parity problem in cellular automata. In both test cases using evolutive methods, the examples used in the learning process biased the solutions found. The main characteristics of the Uniform Coevolution method are that it smoothes the fitness landscape and, that it obtains “ideal learner examples”. Results using uniform coevolution show a high value of generality, compared with non co-evolutive approaches.
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationIEEE International Conference on Systems, Man, and Cybernetics, 2000. Vol.5, p. 3846-3851
dc.identifier.doi10.1109/ICSMC.2000.886610
dc.identifier.isbn0-7803-6583-6
dc.identifier.issn1062-922X
dc.identifier.publicationfirstpage3846
dc.identifier.publicationlastpage3851
dc.identifier.publicationtitleIEEE International Conference on Systems, Man, and Cybernetics, 2000
dc.identifier.publicationvolume5
dc.identifier.urihttp://hdl.handle.net/10016/4056
dc.language.isoeng
dc.publisherIEEE
dc.relation.eventdate8-11 October 2000
dc.relation.eventtitleIEEE International Conference on Systems, Man, and Cybernetics
dc.relation.publisherversionhttp://dx.doi.org/10.1109/ICSMC.2000.886610
dc.rights© IEEE
dc.rights.accessRightsopen access
dc.subject.ecienciaInformática
dc.titleCoevolutive adaptation of fitness landscape for solving the testing problem
dc.typeconference paper*
dspace.entity.typePublication
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