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dc.contributor.authorNebro-Urbaneja, Antonio Jesús 
dc.contributor.authorLópez-Ibáñez, Manuel
dc.contributor.authorBarba-González, Cristóbal 
dc.contributor.authorGarcía-Nieto, José Manuel 
dc.date.accessioned2019-07-25T07:59:26Z
dc.date.available2019-07-25T07:59:26Z
dc.date.created2019
dc.date.issued2019
dc.identifier.urihttps://hdl.handle.net/10630/18135
dc.description.abstractjMetal is a Java-based framework for multi-objective optimization with metaheuristics providing, among other features, a wide set of algorithms that are representative of the state-of-the-art. Although it has become a widely used tool in the area, it lacks support for automatic tuning of algorithm parameter settings, which can prevent obtaining accurate Pareto front approximations, especially for inexperienced users. In this paper, we present a first approach to combine jMetal and irace, a package for automatic algorithm configuration; the NSGA-II is chosen as the target algorithm to be tuned. The goal is to facilitate the combined use of both tools to jMetal users to avoid wasting time in adjusting manually the parameters of the algorithms. Our proposal involves the definition of a new algorithm template for evolutionary algorithms, which allows the flexible composition of multi-objective evolutionary algorithms from a set of configurable components, as well as the generation of configuration files for adjusting the algorithm parameters with irace. To validate our approach, NSGA-II is tuned with a benchmark problems and compared with the same algorithm using standard settings, resulting in a new variant that shows a competitive behavior.en_US
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.en_US
dc.language.isoengen_US
dc.publisherACMen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subject.otherMulti-objective optimizationen_US
dc.subject.otherMetaheuristicsen_US
dc.subject.otherSoftware toolsen_US
dc.subject.otherAutomatic algorithm configurationen_US
dc.titleAutomatic configuration of NSGA-II with jMetal and iraceen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.centroE.T.S.I. Informáticaen_US
dc.relation.eventtitleGenetic and Evolutionary Computation Conference Companion 2019 (GECCO 2019)en_US
dc.relation.eventplacePragaen_US
dc.relation.eventdate13-17 de julio de 2019en_US


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