Publicación:
A quantum evolutionary approach to solving the team formation problem in social networks

dc.contributor.authorÁlvarez Lois, Pedro Pablo
dc.contributor.directorFernández Galán, Severino
dc.date.accessioned2024-05-20T12:35:24Z
dc.date.available2024-05-20T12:35:24Z
dc.date.issued2019-09-24
dc.description.abstractRecent advances in information and communication technologies have led to the expansion of collaborative work. Complex problems in science, engineering, or business are being solved by teams of people working closely with one another. However, forming teams of experts is a computationally challenging problem that requires powerful solution techniques. A metaheuristic algorithm that incorporates some of the principles of quantum computing into an evolutionary structure is presented. The resulting Quantum Evolutionary Algorithm (QEA) has the ability to produce an adequate balance between intensification and diversification during the search process. Numerical experiments have shown that the QEA is able to significantly improve the quality of the solutions for hard instances of the team formation problem, particularly when compared to a standard genetic algorithm. The successful performance of the algorithm requires careful parameter tuning, as well as a mechanism to effectively share information across the population of candidate solutions.en
dc.description.versionversión final
dc.identifier.urihttps://hdl.handle.net/20.500.14468/14569
dc.language.isoen
dc.publisherUniversidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Inteligencia Artificial
dc.relation.centerFacultades y escuelas::E.T.S. de Ingeniería Informática
dc.relation.degreeMáster Universitario en I.A. Avanzada: Fundamentos, Métodos y Aplicaciones
dc.relation.departmentInteligencia Artificial
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.titleA quantum evolutionary approach to solving the team formation problem in social networkses
dc.typetesis de maestríaes
dc.typemaster thesisen
dspace.entity.typePublication
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