Best Possible Approximation Algorithms for Single Machine Scheduling with Increasing Linear Maintenance Durations

Joint Authors

Xu, Dehua
Shi, Xuefei

Source

The Scientific World Journal

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-02-13

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Medicine
Information Technology and Computer Science

Abstract EN

We consider a single machine scheduling problem with multiple maintenance activities, where the maintenance duration function is of the linear form f t = a + b t with a ≥ 0 and b > 1 .

We propose an approximation algorithm named FFD-LS2I with a worst-case bound of 2 for problem.

We also show that there is no polynomial time approximation algorithm with a worst-case bound less than 2 for the problem with b ≥ 0 unless P = N P , which implies that the FFD-LS2I algorithm is the best possible algorithm for the case b > 1 and that the FFD-LS algorithm, which is proposed in the literature, is the best possible algorithm for the case b ≤ 1 both from the worst-case bound point of view.

American Psychological Association (APA)

Shi, Xuefei& Xu, Dehua. 2014. Best Possible Approximation Algorithms for Single Machine Scheduling with Increasing Linear Maintenance Durations. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1050082

Modern Language Association (MLA)

Shi, Xuefei& Xu, Dehua. Best Possible Approximation Algorithms for Single Machine Scheduling with Increasing Linear Maintenance Durations. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1050082

American Medical Association (AMA)

Shi, Xuefei& Xu, Dehua. Best Possible Approximation Algorithms for Single Machine Scheduling with Increasing Linear Maintenance Durations. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1050082

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1050082