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dc.contributor.authorMartínez-Rodríguez, Brian
dc.date2022
dc.date.accessioned2023-01-31T10:37:51Z
dc.date.available2023-01-31T10:37:51Z
dc.identifier.isbn9783031070143
dc.identifier.issn0302-9743
dc.identifier.urihttps://reunir.unir.net/handle/123456789/14099
dc.description.abstractIn this paper we propose a new fitness function for Evolutionary Computation purposes, based on a weighted by neighborhood average distance between two sequences of points within any metric space. We will apply this fitness function to the field of Computer-Assisted Composition focusing on the problem of thematic bridging, consisting in the evolutionary creation of a soft set of transitions between two given different melodies, the initial and the final one. Several self-adaptive strategies will be used to perform the search. A symbolic melody will be genotypically mapped into a sequence of genes, each of then containing the information of duration, frequency and time distance to following note. We will test the implementation of the fitness function by means of two experiments, showing some of the intermediate melodies generated in a successful run, and benchmarking every experiment with performance indicators for any of the three distinct evolutionary strategies implemented. The results prove this novel fitness function to be a quick and suitable way for individual evaluation in genetic algorithms.es_ES
dc.language.isoenges_ES
dc.publisherLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)es_ES
dc.relation.ispartofseries;vol. 13267
dc.relation.urihttps://link.springer.com/chapter/10.1007/978-3-031-07015-0_17#citeases_ES
dc.rightsopenAccesses_ES
dc.subjectcomputer-assisted compositiones_ES
dc.subjectevolutionary computationes_ES
dc.subjectfitnesses_ES
dc.subjectgenetic algorithmes_ES
dc.subjectneighborhoodes_ES
dc.subjectthematic bridginges_ES
dc.subjectScopus(2)es_ES
dc.titleA New Fitness Function for Evolutionary Music Compositiones_ES
dc.typeconferenceObjectes_ES
reunir.tag~ARIes_ES


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