Hierarchical clustering-based framework for a posteriori exploration of pareto fronts : application on the bi-objective next release problem
dc.creator | Casanova Pietroboni, Carlos Antonio | |
dc.creator | Schab, Esteban Alejandro | |
dc.creator | Prado, Lucas Martín | |
dc.creator | Rottoli, Giovani Daian | |
dc.creator.orcid | 0000-0002-2142-2187 | |
dc.creator.orcid | 0000-0002-7623-2591 | |
dc.date.accessioned | 2024-12-27T14:10:44Z | |
dc.date.issued | 2023-05-24 | |
dc.description.abstract | When solving multi-objective combinatorial optimization problems using a search algorithm without a priori information, the result is a Pareto front. Selecting a solution from it is a laborious task if the number of solutions to be analyzed is large. This task would benefit from a systematic approach that facilitates the analysis, comparison and selection of a solution or a group of solutions based on the preferences of the decision makers. In the last decade, the research and development of algorithms for solving multi-objective combinatorial optimization problems has been growing steadily. In contrast, efforts in the a posteriori exploration of non-dominated solutions are still scarce. | |
dc.description.affiliation | Fil: Casanova Pietroboni, Carlos Antonio. Universidad Tecnológica Nacional. Facultad Regional Concepción del Uruguay. Departamento Ingeniería en Sistemas de Información. Grupo de Investigación Inteligencia Computacional e Ingeniería de Software; Argentina. | |
dc.description.affiliation | Fil: Schab, Esteban Alejandro. Universidad Tecnológica Nacional. Facultad Regional Concepción del Uruguay. Departamento Ingeniería en Sistemas de Información. Grupo de Investigación Inteligencia Computacional e Ingeniería de Software; Argentina. | |
dc.description.affiliation | Fil: Prado, Lucas Martín. Universidad Tecnológica Nacional. Facultad Regional Concepción del Uruguay. Departamento Ingeniería en Sistemas de Información. Grupo de Investigación Inteligencia Computacional e Ingeniería de Software; Argentina. | |
dc.description.affiliation | Fil: Rottoli, Giovanni Daián. Universidad Tecnológica Nacional. Facultad Regional Concepción del Uruguay. Departamento Ingeniería en Sistemas de Información. Grupo de Investigación Inteligencia Computacional e Ingeniería de Software; Argentina. | |
dc.format | ||
dc.identifier.citation | Frontiers in computer science | |
dc.identifier.doi | https://doi.org/10.3389/fcomp.2023.1179059 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12272/12046 | |
dc.language.iso | en | |
dc.publisher | Hector Florez, Universidad Distrital Francisco Jose de Caldas, Colombia. | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en |
dc.rights.holder | Casanova Pietroboni, Carlos Antonio ; Schab, Esteban Alejandro ; Prado, Lucas Martín ; Rottoli, Giovanni Daián. | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.rights.use | No comercial con fines académicos. Licencia Creative Commons CC BY. | |
dc.source | Frontiers in Computer Science, Sci. 5:1179059, 1-18. (2023) | |
dc.subject | Search-based software engineering | |
dc.subject | Preference-based algorithms | |
dc.subject | Aposteriori approach | |
dc.subject | Hierarchical clustering | |
dc.subject | Multiobjective optimization | |
dc.subject | Pareto front | |
dc.title | Hierarchical clustering-based framework for a posteriori exploration of pareto fronts : application on the bi-objective next release problem | |
dc.type | info:eu-repo/semantics/article | |
dc.type.version | publisherVersion |