Publicação
A GA based approach for dynamic job-shop scheduling problems
| datacite.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| dc.contributor.author | Madureira, Ana Maria | |
| dc.contributor.author | Ramos, Carlos | |
| dc.contributor.author | Silva, Sílvio Carmo | |
| dc.date.accessioned | 2026-04-30T14:27:04Z | |
| dc.date.available | 2026-04-30T14:27:04Z | |
| dc.date.issued | 2001-05-31 | |
| dc.description.abstract | [Abstract excerpt] Most research in Genetic Algorithms (GA) focuses on optimisation of static scheduling problems. Since Davis proposed the first Genetic Algorithm to address scheduling problems in 1985, GA have been widely used in manufacturing scheduling applications. However, most of he works deal with optimisation of the scheduling problem in static environments, whereas many real world problems are dynamic, frequently subject to several sorts of random occurrences and perturbations, such as random job releases, machine breakdowns, jobs cancellation and due date and time processing changes. | eng |
| dc.identifier.citation | Madureira, A., Ramos, C. & Silva, S. C. (2001, May 31-June 2). A GA based approach for dynamic job-shop scheduling problems [Abstract]. Conference of the European Chapter on Combinatorial Optimization ECCO XIV, University of Bonn, Germany. | |
| dc.identifier.uri | http://hdl.handle.net/10400.22/32330 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | University of Bonn | |
| dc.rights.uri | N/A | |
| dc.title | A GA based approach for dynamic job-shop scheduling problems | eng |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.citation.conferenceDate | 2001-05-31 | |
| oaire.citation.conferencePlace | University of Bonn, Germany | |
| oaire.citation.title | ECCO XIV - Conference of the European Chapter on Combinatorial Optimization | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Madureira | |
| person.familyName | Ramos | |
| person.givenName | Ana Maria | |
| person.givenName | Carlos | |
| person.identifier.ciencia-id | 7F1D-5AF2-A101 | |
| person.identifier.ciencia-id | 1011-FAFC-AEBA | |
| person.identifier.orcid | 0000-0002-0264-4710 | |
| person.identifier.orcid | 0000-0002-5143-1711 | |
| person.identifier.rid | AAH-1056-2021 | |
| person.identifier.rid | K-7403-2014 | |
| person.identifier.scopus-author-id | 8634629500 | |
| person.identifier.scopus-author-id | 7201559105 | |
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