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Swarm intelligence for scheduling: a review

dc.contributor.authorMadureira, Ana Maria
dc.contributor.authorSousa, Nelson
dc.contributor.authorPereira, Ivo
dc.date.accessioned2013-05-10T10:51:00Z
dc.date.available2013-05-10T10:51:00Z
dc.date.issued2011
dc.date.updated2013-04-23T11:05:24Z
dc.description.abstractSwarm Intelligence generally refers to a problem-solving ability that emerges from the interaction of simple information-processing units. The concept of Swarm suggests multiplicity, distribution, stochasticity, randomness, and messiness. The concept of Intelligence suggests that problem-solving approach is successful considering learning, creativity, cognition capabilities. This paper introduces some of the theoretical foundations, the biological motivation and fundamental aspects of swarm intelligence based optimization techniques such Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO) and Artificial Bees Colony (ABC) algorithms for scheduling optimization.por
dc.identifier.urihttp://hdl.handle.net/10400.22/1544
dc.language.isoengpor
dc.subjectDecision support system(s)por
dc.subjectMeta-heuristicspor
dc.subjectScheduling tools for production managementpor
dc.subjectOptimization techniques for manufacturing productionpor
dc.titleSwarm intelligence for scheduling: a reviewpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlacePóvoa do Varzim, Portugal, 2011por
oaire.citation.titleSecond International Conference on Business Sustainability (BS’2011),por
person.familyNameMadureira
person.familyNamePereira
person.givenNameAna Maria
person.givenNameIvo
person.identifier.ciencia-id7F1D-5AF2-A101
person.identifier.ciencia-id3E18-2D4C-0E14
person.identifier.orcid0000-0002-0264-4710
person.identifier.orcid0000-0001-5440-3225
person.identifier.ridAAH-1056-2021
person.identifier.ridN-1713-2016
person.identifier.scopus-author-id8634629500
person.identifier.scopus-author-id36675461900
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationcd5e5eb7-cf63-48c6-b6b9-a9db2fedebab
relation.isAuthorOfPublication097b47eb-e9f1-40cb-9fe3-ca46efc578cb
relation.isAuthorOfPublication.latestForDiscovery097b47eb-e9f1-40cb-9fe3-ca46efc578cb

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