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  • Letort, ArnaudCNRS INRIA, France (author)

Synchronized sweep algorithms for scalable scheduling constraints

  • 4
  • Article/chapterEnglish2015

Publisher, publication year, extent ...

  • 2014-10-31
  • Springer,2015
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:ri-24358
  • https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-24358URI
  • https://doi.org/10.1007/s10601-014-9172-8DOI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • 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 (author)
  • Beldiceanu, NicolasCNRS INRIA, France (author)
  • CNRS INRIA, FranceComputer Systems Laboratory (creator_code:org_t)

Related titles

  • In:Constraints: Springer19, s. 183-2341383-71331572-9354

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