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Multi-objective optimization in a job shop with energy costs through hybrid evolutionary techniques

dc.contributor.authorGonzález Fernández, Miguel Ángel 
dc.contributor.authorOddi, A.
dc.contributor.authorRasconi, R.
dc.date.accessioned2018-02-06T10:10:54Z
dc.date.available2018-02-06T10:10:54Z
dc.date.issued2017
dc.identifier.isbn9781577357896
dc.identifier.issn2334-0835
dc.identifier.urihttps://aaai.org/ocs/index.php/ICAPS/ICAPS17/paper/viewFile/15718/15098
dc.identifier.urihttp://hdl.handle.net/10651/45309
dc.description.sponsorshipThis research has been supported by the Spanish Government under research project TIN2016-79190-R. ISTC-CNR authors were supported by the ESA Contract No.4000112300/14/D/MRP “Mars Express Data Planning Tool MEXAR2 Maintenance”.
dc.format.extentp. 140-148
dc.language.isoeng
dc.relation.ispartofProceedings International Conference on Automated Planning and Scheduling, ICAPS
dc.rights©,
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85030549642&partnerID=40&md5=76d053a1743a0bc5d43921f9ed39f360
dc.titleMulti-objective optimization in a job shop with energy costs through hybrid evolutionary techniques
dc.typeconference outputspa
dc.relation.projectIDTIN2016-79190-R. ISTC-CNR


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