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A new contribution for solving dynamic scheduling problems using genetic algorithms

datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorMadureira, Ana Maria
dc.contributor.authorRamos, Carlos
dc.contributor.authorSilva, Sílvio do Carmo
dc.date.accessioned2026-05-06T09:42:59Z
dc.date.available2026-05-06T09:42:59Z
dc.date.issued2002-07-24
dc.description.abstractScheduling is an important element of manufacturing systems because it allows to improve the system performance and serves as an overall plan on which system activities are based. The main purpose of this paper isto explore the use of evolutionary computation techniques for solving real world optimisation problems. These classes of problems have additional difficulties for the traditional optimisation techniques. This paper presents a simple and general framework based on Genetic Algorithms to solve dynamic Job-Shop scheduling problems. A new generation of initial individual and population is proposed. The proposed framework adapts the resolution of the deterministic problem to the non-deterministic one in which changes may occur continually. This takes into account dynamic occurrences in a manufacturing system and adapts the current population.eng
dc.identifier.citationMadureira, A., Ramos, C. & Silva, S. C. (2002, July 24-27). A new contribution for solving dynamic scheduling problems using genetic algorithms [Paper presentation]. Proceedings of the 9th Bellman Continuum International Workshop on Uncertain Systems and Soft Computing, Beijing, China.
dc.identifier.urihttp://hdl.handle.net/10400.22/32336
dc.language.isoeng
dc.peerreviewedyes
dc.publisherTsinghua University
dc.rights.uriN/A
dc.titleA new contribution for solving dynamic scheduling problems using genetic algorithmseng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2002-07-24
oaire.citation.conferencePlaceBeijing, China
oaire.citation.endPage172
oaire.citation.startPage171
oaire.citation.titleThe 9th Bellman Continuum International Workshop on Uncertain Systems and Soft Computing
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMadureira
person.familyNameRamos
person.givenNameAna Maria
person.givenNameCarlos
person.identifier.ciencia-id7F1D-5AF2-A101
person.identifier.ciencia-id1011-FAFC-AEBA
person.identifier.orcid0000-0002-0264-4710
person.identifier.orcid0000-0002-5143-1711
person.identifier.ridAAH-1056-2021
person.identifier.ridK-7403-2014
person.identifier.scopus-author-id8634629500
person.identifier.scopus-author-id7201559105
relation.isAuthorOfPublicationcd5e5eb7-cf63-48c6-b6b9-a9db2fedebab
relation.isAuthorOfPublication43ef055e-80e6-4b31-8400-2d3592927e03
relation.isAuthorOfPublication.latestForDiscoverycd5e5eb7-cf63-48c6-b6b9-a9db2fedebab

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