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Synchronized sweep ...
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Letort, ArnaudCNRS INRIA, France
(författare)
Synchronized sweep algorithms for scalable scheduling constraints
- Artikel/kapitelEngelska2015
Förlag, utgivningsår, omfång ...
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2014-10-31
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Springer,2015
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printrdacarrier
Nummerbeteckningar
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LIBRIS-ID:oai:DiVA.org:ri-24358
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https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-24358URI
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https://doi.org/10.1007/s10601-014-9172-8DOI
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Språk:engelska
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Sammanfattning på:engelska
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Ämneskategori:ref swepub-contenttype
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Ämneskategori:art swepub-publicationtype
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This paper introduces a family of synchronized sweep-based filtering algorithms for handling scheduling problems involving resource and precedence constraints. The key idea is to filter all constraints of a scheduling problem in a synchronized way in order to scale better. In addition to normal filtering mode, the algorithms can run in greedy mode, in which case they perform a greedy assignment of start and end times. The filtering mode achieves a significant speed-up over the decomposition into independent CUMULATIVE and precedence constraints, while the greedy mode can handle up to 1 million tasks with 64 resource constraints and 2 million precedences. These algorithms were implemented in both CHOCO and SICStus.
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Carlsson, MatsRISE,Computer Systems Laboratory(Swepub:ri)MatsCa@ri.se
(författare)
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Beldiceanu, NicolasCNRS INRIA, France
(författare)
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CNRS INRIA, FranceComputer Systems Laboratory
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:Constraints: Springer19, s. 183-2341383-71331572-9354
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