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Article

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Title

Scheduling High Multiplicity Coupled Tasks

Authors

Year of publication

2020

Published in

Foundations of Computing and Decision Sciences

Journal year: 2020 | Journal volume: vol. 45 | Journal number: no. 1

Article type

scientific article

Publication language

english

Keywords
EN
  • coupled tasks
  • scheduling
  • complexity theory
  • asymptotically optimal algorithms
  • high multiplicity
Abstract

EN The coupled tasks scheduling problem is class of scheduling problems, where each task consists of two operations and a separation gap between them. The high-multiplicity is a compact encoding, where identical tasks are grouped together, and the group is specified instead of each individual task. Consequently the encoding of a problem instance is decreased significantly. In this article we derive a lower bound for the problem variant as well as propose an asymptotically optimal algorithm. The theoretical results are complemented with computational experiment, where a new algorithm is compared with three other algorithms implemented.

Pages (from - to)

47 - 61

DOI

10.2478/fcds-2020-0004

URL

https://sciendo.com/article/10.2478%2Ffcds-2020-0004

License type

CC BY-NC-ND (attribution - noncommercial - no derivatives)

Full text of article

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Access level to full text

public

Ministry points / journal

20

Ministry points / journal in years 2017-2021

40

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