Evolutionary Development based on Genetic Regulatory Models for Behavior-Finding

dc.contributor.advisor	Vico-Vela, Francisco José
dc.contributor.author	Lobo Fernández, Daniel
dc.contributor.other	Lenguajes y Ciencias de la Computación	es_ES
dc.date.accessioned	2014-01-14T08:31:12Z
dc.date.available	2014-04-13T04:00:03Z
dc.date.issued	2014
dc.identifier.uri	http://hdl.handle.net/10630/6863
dc.description.abstract	This thesis investigates the role, implications, and applications of a genetic-regulated developmental process in evolution. A novel formalism of string-regulated graph grammar, as an abstraction of biological development, is presented and studied. Founded on this formalism, evolutionary developmental models are introduced and tested. The results demonstrate the benefits of the models, compared to traditional direct encoding approaches, for the problems of form-finding and behavior-finding.	es_ES
dc.language.iso	eng	es_ES
dc.publisher	Universidad de Málaga, Servicio de Publicaciones	es_ES
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Computación evolutiva - Tesis doctorales	es_ES
dc.subject.other	Evolutionary computation	es_ES
dc.subject.other	Behavior-ﬁnding	es_ES
dc.subject.other	Graph grammar	es_ES
dc.subject.other	Artificial development	es_ES
dc.subject.other	Artificial regulatory network	es_ES
dc.title	Evolutionary Development based on Genetic Regulatory Models for Behavior-Finding	es_ES
dc.type	info:eu-repo/semantics/doctoralThesis	es_ES
dc.centro	E.T.S.I. Informática	es_ES