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A Scalable Sweep Algorithm for the "cumulative" Constraint
SICStus Prolog.
SICStus Prolog.
RISE, Swedish ICT, SICS. Computer Systems Laboratory.
Number of Authors: 4
2012 (English)Conference paper, (Refereed)
Abstract [en]

This paper presents a sweep based algorithm for the cumulative constraint, which can operate in filtering mode as well as in greedy assignment mode. Given n tasks, this algorithm has a worst-case time complexity of O(n 2). In practice, we use a variant with better average-case complexity but worst-case complexity of O(n 2 log n), which goes down to O(n log n) when all tasks have unit duration, i.e. in the bin-packing case. Despite its worst-case time complexity, this algorithm scales well in practice, even when a significant number of tasks can be scheduled in parallel. It handles up to 1 million tasks in one single cumulative constraint in both Choco and SICStus.

Place, publisher, year, edition, pages
Springer , 2012, 6. Vol. 7514, 439-454 p.
Series
Lecture Notes in Computer Science
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-24091DOI: 10.1007/978-3-642-33558-7_33OAI: oai:DiVA.org:ri-24091DiVA: diva2:1043170
Conference
CP
Projects
SICStus Prolog
Available from: 2016-10-31 Created: 2016-10-31Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
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