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dc.contributor.authorBenítez-Hidalgo, Antonio
dc.contributor.authorNebro-Urbaneja, Antonio Jesus 
dc.contributor.authorDurillo, Juan J.
dc.contributor.authorGarcía-Nieto, José
dc.contributor.authorLópez-Camacho, Esteban
dc.contributor.authorBarba-González, Cristóbal
dc.contributor.authorAldana-Montes, Jose Francisco 
dc.date.accessioned2018-11-05T10:00:45Z
dc.date.available2018-11-05T10:00:45Z
dc.date.created2018
dc.date.issued2018-11-05
dc.identifier.urihttps://hdl.handle.net/10630/16778
dc.description.abstractMulti-objective optimization with metaheuristics is an active and popular research field which is supported by the availability of software frameworks providing algorithms, benchmark problems, quality indicators and other related components. Most of these tools follow a monolithic architecture that frequently leads to a lack of flexibility when a user intends to add new features to the included algorithms. In this paper, we explore a different approach by designing a component-based architecture for a multi-objective optimization framework based on the observer pattern. In this architecture, most of the algorithmic components are observable entities that naturally allows to register a number of observers. This way, a metaheuristic is composed of a set of observable and observer elements, which can be easily extended without requiring to modify the algorithm. We have developed a prototype of this architecture and implemented the NSGA-II evolutionary algorithm on top of it as a case study. Our analysis confirms the improvement of flexibility using this architecture, pointing out the requirements it imposes and how performance is affected when adopting it.en_US
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.en_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectInformáticaen_US
dc.subject.otherMulti-objective optimizationen_US
dc.subject.otherMetaheuristicsen_US
dc.subject.otherSoftware frameworken_US
dc.subject.otherSoftware architectureen_US
dc.subject.otherObserver patternen_US
dc.titleAbout Designing an Observer Pattern-Based Architecture for a Multi-objective Metaheuristic Optimization Frameworken_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.centroE.T.S.I. Informáticaen_US
dc.relation.eventtitleIDC 2018en_US
dc.relation.eventplaceBilbaoen_US
dc.relation.eventdate15-17 de octubre de 2018en_US


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