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Better approximation guarantees for job-shop scheduling

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Goldberg, Leslie Ann, Paterson, Michael S., Srinivasan, Aravind and Sweedyk, Elizabeth (2001) Better approximation guarantees for job-shop scheduling. SIAM Journal on Discrete Mathematics, Volume 14 (Number 1). pp. 67-92. doi:10.1137/S0895480199326104 ISSN 0895-4801.

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Official URL: http://dx.doi.org/10.1137/S0895480199326104

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Abstract

Job-shop scheduling is a classical NP-hard problem. Shmoys, Stein, and Wein presented the rst polynomial-time approximation algorithm for this problem that has a good (polylogarithmic) approximation guarantee. We improve the approximation guarantee of their work and present further improvements for some important NP-hard special cases of this problem (e.g., in the preemptive case where machines can suspend work on operations and later resume). We also present NC algorithms with improved approximation guarantees for some NP-hard special cases.

Item Type: Journal Article
Alternative Title:
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
Journal or Publication Title: SIAM Journal on Discrete Mathematics
Publisher: Society for Industrial and Applied Mathematics
ISSN: 0895-4801
Official Date: 2001
Dates:
DateEvent
2001Published
Volume: Volume 14
Number: Number 1
Number of Pages: 26
Page Range: pp. 67-92
DOI: 10.1137/S0895480199326104
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

Data sourced from Thomson Reuters' Web of Knowledge

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