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dc.contributor.authorLara-Cabrera, Raúl
dc.contributor.authorCotta, Carlos 
dc.contributor.authorFernández-Leiva, Antonio J.
dc.date.accessioned2014-04-22T09:34:40Z
dc.date.available2014-04-22T09:34:40Z
dc.date.created2014-04-21
dc.date.issued2014-04-22
dc.identifier.urihttp://hdl.handle.net/10630/7416
dc.description.abstractProcedural content generation (PCG) is a research eld on the rise,with numerous papers devoted to this topic. This paper presents a PCG method based on a self-adaptive evolution strategy for the automatic generation of maps for the real-time strategy (RTS) game PlanetWars. These maps are generated in order to ful ll the aesthetic preferences of the user, as implied by her assessment of a collection of maps used as training set. A topological approach is used for the characterization of the maps and their subsequent evaluation: the sphere-of-in uence graph (SIG) of each map is built, several graph-theoretic measures are computed on it, and a feature selection method is utilized to determine adequate subsets of measures to capture the class of the map. A multiobjective evolutionary algorithm is subsequently employed to evolve maps, using these feature sets in order to measure distance to good (aesthetic) and bad (non-aesthetic) maps in the training set. The so-obtained results are visually analyzed and compared to the target maps using a Kohonen network.es_ES
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.es_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectInteligencia artificiales_ES
dc.subject.otherProcedural Content Generationes_ES
dc.subject.otherGame programminges_ES
dc.subject.otherArtificial Intelligencees_ES
dc.subject.otherEvolutionary programminges_ES
dc.titleA Self-Adaptive Evolutionary Approach to the Evolution of Aesthetic Maps for a RTS Gamees_ES
dc.typeinfo:eu-repo/semantics/preprintes_ES
dc.centroE.T.S.I. Informáticaes_ES
dc.relation.eventtitleThe IEEE World Congress on Computational Intelligence (IEEE WCCI)es_ES
dc.relation.eventplaceBeijing, Chinaes_ES
dc.relation.eventdate6-11, Julio, 2014es_ES


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