Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/25963
Registo completo
Campo DC | Valor | Idioma |
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dc.contributor.author | Öztürk, E. | - |
dc.contributor.author | Rocha, P. | - |
dc.contributor.author | Sousa, F. | - |
dc.contributor.author | Lima, M. | - |
dc.contributor.author | Rodrigues, A. M. | - |
dc.contributor.author | Ferreira, J. S. | - |
dc.contributor.author | Nunes, A. C. | - |
dc.contributor.author | Lopes, C. | - |
dc.contributor.author | Oliveira, C. | - |
dc.contributor.editor | Machado, J., Soares, F., Trojanowska, J., Yildirim, S., Vojtěšek, J., Rea, P., Gramescu, B., and Hrybiuk, O. O. | - |
dc.date.accessioned | 2022-08-01T14:46:36Z | - |
dc.date.available | 2022-08-01T14:46:36Z | - |
dc.date.issued | 2022 | - |
dc.identifier.isbn | 978-3-031-09385-2 | - |
dc.identifier.issn | 2195-4356 | - |
dc.identifier.uri | http://hdl.handle.net/10071/25963 | - |
dc.description.abstract | Sectorization problems have significant challenges arising from the many objectives that must be optimised simultaneously. Several methods exist to deal with these many-objective optimisation problems, but each has its limitations. This paper analyses an application of Preference Inspired Co-Evolutionary Algorithms, with goal vectors (PICEA-g) to sectorization problems. The method is tested on instances of different size difficulty levels and various configurations for mutation rate and population number. The main purpose is to find the best configuration for PICEA-g to solve sectorization problems. Performancemetrics are used to evaluate these configurations regarding the solutions’ spread, convergence, and diversity in the solution space. Several test trials showed that big and medium-sized instances perform better with low mutation rates and large population sizes. The opposite is valid for the small size instances. | eng |
dc.language.iso | eng | - |
dc.publisher | Springer | - |
dc.relation | POCI-01-0145-FEDER-031671 | - |
dc.relation.ispartof | Innovations in Mechatronics Engineering II. Lecture Notes in Mechanical Engineering | - |
dc.rights | openAccess | - |
dc.subject | Sectorization problems | eng |
dc.subject | Co-evolutionary algorithms | eng |
dc.subject | Many-objective optimisation | eng |
dc.title | An application of Preference-Inspired Co-Evolutionary Algorithm to sectorization | eng |
dc.type | conferenceObject | - |
dc.event.title | 2nd International Scientific Conference on Innovation in Engineering, ICIE 2022 | - |
dc.event.type | Conferência | pt |
dc.event.location | Guimarães | eng |
dc.event.date | 2022 | - |
dc.pagination | 257 - 268 | - |
dc.peerreviewed | yes | - |
dc.date.updated | 2022-08-01T16:15:43Z | - |
dc.description.version | info:eu-repo/semantics/acceptedVersion | - |
dc.identifier.doi | 10.1007/978-3-031-09385-2_23 | - |
dc.subject.fos | Domínio/Área Científica::Ciências Naturais::Ciências Físicas | por |
dc.subject.fos | Domínio/Área Científica::Ciências Naturais::Ciências Químicas | por |
dc.subject.fos | Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Mecânica | por |
dc.subject.fos | Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Química | por |
iscte.subject.ods | Indústria, inovação e infraestruturas | por |
iscte.identifier.ciencia | https://ciencia.iscte-iul.pt/id/ci-pub-89719 | - |
iscte.alternateIdentifiers.scopus | 2-s2.0-85134184539 | - |
Aparece nas coleções: | DMQGE-CRI - Comunicações a conferências internacionais |
Ficheiros deste registo:
Ficheiro | Tamanho | Formato | |
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conferenceobject_89719.pdf | 817,01 kB | Adobe PDF | Ver/Abrir |
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