Improvement strategies for visualizing solution sets in many-objective optimization problems
Corresponding author: Christian von Lücken (clucken@pol.una.py)
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| 其他作者: | , , |
| 格式: | article |
| 語言: | 英语 |
| 出版: |
2024
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| 主題: | |
| 在線閱讀: | https://doi.org/10.1109/ACCESS.2024.3467997 http://hdl.handle.net/20.500.14066/4478 |
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| _version_ | 1870612073186066432 |
|---|---|
| author | von Lucken Martínez, Christian Daniel |
| author2 | Pereira, Uriel Dávalos Giménez, Enrique Javier López Pires, Fabio |
| author2_role | author author author |
| author_browse | Dávalos Giménez, Enrique Javier López Pires, Fabio Pereira, Uriel von Lucken Martínez, Christian Daniel |
| author_facet | von Lucken Martínez, Christian Daniel Pereira, Uriel Dávalos Giménez, Enrique Javier López Pires, Fabio |
| author_role | author |
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| bitstream.url.fl_str_mv | http://repositorio.conacyt.gov.py/bitstream/20.500.14066/4478/4/Improvement%20strategies%20for%20visualizing%20solution%20sets%20in%20many-objective%20optimization%20problems.jpg http://repositorio.conacyt.gov.py/bitstream/20.500.14066/4478/2/license_rdf http://repositorio.conacyt.gov.py/bitstream/20.500.14066/4478/3/license.txt http://repositorio.conacyt.gov.py/bitstream/20.500.14066/4478/1/Improvement%20strategies%20for%20visualizing%20solution%20sets%20in%20many-objective%20optimization%20problems.pdf http://repositorio.conacyt.gov.py/bitstream/20.500.14066/4478/5/Improvement%20strategies%20for%20visualizing%20solution%20sets%20in%20many-objective%20optimization%20problems.pdf.txt |
| dc.contributor.other.es.fl_str_mv | Universidad Nacional de Asunción. Facultad Politécnica |
| dc.creator.none.fl_str_mv | von Lucken Martínez, Christian Daniel Pereira, Uriel Dávalos Giménez, Enrique Javier López Pires, Fabio |
| dc.date.accessioned.none.fl_str_mv | 2024-11-12T15:48:25Z |
| dc.date.available.none.fl_str_mv | 2024-11-12T15:48:25Z |
| dc.date.issued.none.fl_str_mv | 2024-09-25 |
| dc.identifier.citation.en.fl_str_mv | Von Lücken, C., Pereira, U., Dávalos, E. J., & López Pires, F. (2024). Improvement strategies for visualizing solution sets in many-objective optimization problems. IEEE Access, 12, 142406-142418. https://doi.org/10.1109/ACCESS.2024.3467997 |
| dc.identifier.doi.es.fl_str_mv | 10.1109/ACCESS.2024.3467997 |
| dc.identifier.essn.es.fl_str_mv | 2169-3536 |
| dc.identifier.other.es.fl_str_mv | https://doi.org/10.1109/ACCESS.2024.3467997 |
| dc.identifier.uri.none.fl_str_mv | http://hdl.handle.net/20.500.14066/4478 |
| dc.language.iso.es.fl_str_mv | eng |
| dc.publisher.es.fl_str_mv | Institute of Electrical and Electronics Engineers |
| dc.relation.projectCONACYT.es.fl_str_mv | PINV18-949 |
| dc.rights.*.fl_str_mv | Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
| dc.rights.accessRights.es.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.rights.uri.*.fl_str_mv | http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| dc.subject.classification.es.fl_str_mv | 3. Exploración y explotación del espacio 3.1. I+D relativo al espacio civil |
| dc.subject.ocde.es.fl_str_mv | 1. Ciencias Naturales 1.1. Matemáticas e Informática [matemáticas y otras áreas afines; informática y otras disciplinas afines (solo desarrollo de software; el desarrollo de equipos debe clasificarse en ingeniería)] |
| dc.subject.other.es.fl_str_mv | Data visualization Decision making Filtering methods Interactive visual exploration Many-objective optimization Multi-objective optimization Ranking methods Shape-based clustering |
| dc.title.es.fl_str_mv | Improvement strategies for visualizing solution sets in many-objective optimization problems |
| dc.type.es.fl_str_mv | info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| description | Corresponding author: Christian von Lücken (clucken@pol.una.py) |
| eu_rights_str_mv | openAccess |
| format | article |
| id | CONACYT_ec682d3201e827abbb77252ea10fb8ce |
| identifier_str_mv | Von Lücken, C., Pereira, U., Dávalos, E. J., & López Pires, F. (2024). Improvement strategies for visualizing solution sets in many-objective optimization problems. IEEE Access, 12, 142406-142418. https://doi.org/10.1109/ACCESS.2024.3467997 10.1109/ACCESS.2024.3467997 2169-3536 |
| language | eng |
| network_acronym_str | CONACYT |
| network_name_str | Repositorio Institucional CONACYT |
| oai_identifier_str | oai:repositorio.conacyt.gov.py:20.500.14066/4478 |
| publishDate | 2024 |
| publishDateSort | 2024 |
| repository.mail.fl_str_mv | repositorio.institucional@conacyt.gov.py |
| repository.name.fl_str_mv | Repositorio Institucional CONACYT |
| repository_id_str | |
| rights_invalid_str_mv | Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| spelling | 11906000000-0002-2198-12375679e1d2-0d16-4d6b-ab90-89348fbab16c600326600be653e2a-9bb7-4931-b3c1-218549c6d359600Universidad Nacional de Asunción. Facultad Politécnica2024-11-12T15:48:25Z2024-11-12T15:48:25Z2024-09-25Von Lücken, C., Pereira, U., Dávalos, E. J., & López Pires, F. (2024). Improvement strategies for visualizing solution sets in many-objective optimization problems. IEEE Access, 12, 142406-142418. https://doi.org/10.1109/ACCESS.2024.3467997https://doi.org/10.1109/ACCESS.2024.3467997http://hdl.handle.net/20.500.14066/447810.1109/ACCESS.2024.34679972169-3536Corresponding author: Christian von Lücken (clucken@pol.una.py)In real-world multi-objective optimization, dealing with many objectives and a large number of solutions is a common challenge that complicates data visualization and analysis. This study aims to simplify decision-making by analyzing tools to better explore Pareto optimal solutions in many-objective scenarios, integrating clustering, filtering, and ranking with existing graphics techniques. The dynamic combination of these tools should reduce complexity and highlight significant patterns in the data set, allowing decision-makers to tailor the visualization to their specific needs and preferences. Central to the approach presented in this work is the innovative application of shape-based clustering to organize the solution set and the use of this clustering to define distinct types of filters. Additionally, ranking methods originally proposed to enhance search in many-objective evolutionary algorithms are used here to identify the best solutions based on predefined criteria in combination with other techniques. The efficacy of the proposed integrated approach was evaluated using an application developed with this aim and considering a five-objective problem as a case study. The analysis suggests that using these combined strategies aids interactive visual exploration, effectively reducing solution volume and improving data understanding, potentially facilitating decision-making tasks.Consejo Nacional de Ciencia y TecnologíaPrograma Paraguayo para el Desarrollo de la Ciencia y Tecnología. Proyectos de investigación y desarrolloengInstitute of Electrical and Electronics EngineersAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccess© 2024 The Authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/.3. Exploración y explotación del espacio3.1. I+D relativo al espacio civilData visualizationDecision makingFiltering methodsInteractive visual explorationMany-objective optimizationMulti-objective optimizationRanking methodsShape-based clustering1. Ciencias Naturales1.1. Matemáticas e Informática [matemáticas y otras áreas afines; informática y otras disciplinas afines (solo desarrollo de software; el desarrollo de equipos debe clasificarse en ingeniería)]Improvement strategies for visualizing solution sets in many-objective optimization problemsinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionIEEE Access142406142418PINV18-94912von Lucken Martínez, Christian DanielPereira, UrielDávalos Giménez, Enrique JavierLópez Pires, FabioTHUMBNAILImprovement strategies for visualizing solution sets in many-objective optimization problems.jpgImprovement strategies for visualizing solution sets in many-objective optimization problems.jpgArtículo científicoimage/jpeg1027896http://repositorio.conacyt.gov.py/bitstream/20.500.14066/4478/4/Improvement%20strategies%20for%20visualizing%20solution%20sets%20in%20many-objective%20optimization%20problems.jpg79ae92d5e7ca99d0e4fa408573dda42aMD54CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805http://repositorio.conacyt.gov.py/bitstream/20.500.14066/4478/2/license_rdf4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81698http://repositorio.conacyt.gov.py/bitstream/20.500.14066/4478/3/license.txt858b22fda432bd774e469302988c1974MD53ORIGINALImprovement strategies for visualizing solution sets in many-objective optimization problems.pdfImprovement strategies for visualizing solution sets in many-objective optimization problems.pdfArtículo científicoapplication/pdf1607734http://repositorio.conacyt.gov.py/bitstream/20.500.14066/4478/1/Improvement%20strategies%20for%20visualizing%20solution%20sets%20in%20many-objective%20optimization%20problems.pdfbf62f8b76faac810969e03d10a58ca80MD51TEXTImprovement strategies for visualizing solution sets in many-objective optimization problems.pdf.txtImprovement strategies for visualizing solution sets in many-objective optimization problems.pdf.txtExtracted texttext/plain54001http://repositorio.conacyt.gov.py/bitstream/20.500.14066/4478/5/Improvement%20strategies%20for%20visualizing%20solution%20sets%20in%20many-objective%20optimization%20problems.pdf.txtd3368078afab8ca3e9ea5641698f8e0bMD5520.500.14066/4478oai:repositorio.conacyt.gov.py:20.500.14066/44782026-02-12 19:30:38.538Repositorio Institucional CONACYTrepositorio.institucional@conacyt.gov.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 |
| spellingShingle | Improvement strategies for visualizing solution sets in many-objective optimization problems von Lucken Martínez, Christian Daniel 3. Exploración y explotación del espacio 3.1. I+D relativo al espacio civil Data visualization Decision making Filtering methods Interactive visual exploration Many-objective optimization Multi-objective optimization Ranking methods Shape-based clustering 1. Ciencias Naturales 1.1. Matemáticas e Informática [matemáticas y otras áreas afines; informática y otras disciplinas afines (solo desarrollo de software; el desarrollo de equipos debe clasificarse en ingeniería)] |
| status_str | publishedVersion |
| title | Improvement strategies for visualizing solution sets in many-objective optimization problems |
| title_full | Improvement strategies for visualizing solution sets in many-objective optimization problems |
| title_fullStr | Improvement strategies for visualizing solution sets in many-objective optimization problems |
| title_full_unstemmed | Improvement strategies for visualizing solution sets in many-objective optimization problems |
| title_short | Improvement strategies for visualizing solution sets in many-objective optimization problems |
| title_sort | Improvement strategies for visualizing solution sets in many-objective optimization problems |
| topic | 3. Exploración y explotación del espacio 3.1. I+D relativo al espacio civil Data visualization Decision making Filtering methods Interactive visual exploration Many-objective optimization Multi-objective optimization Ranking methods Shape-based clustering 1. Ciencias Naturales 1.1. Matemáticas e Informática [matemáticas y otras áreas afines; informática y otras disciplinas afines (solo desarrollo de software; el desarrollo de equipos debe clasificarse en ingeniería)] |
| url | https://doi.org/10.1109/ACCESS.2024.3467997 http://hdl.handle.net/20.500.14066/4478 |