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Best Possible Approximation Algorithms for Single Machine Scheduling with Increasing Linear Maintenance Durations
We consider a single machine scheduling problem with multiple maintenance activities, where the maintenance duration function is of the linear form f(t) = a+bt 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 th...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3950368/ https://www.ncbi.nlm.nih.gov/pubmed/24701177 http://dx.doi.org/10.1155/2014/547573 |
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author | Shi, Xuefei Xu, Dehua |
author_facet | Shi, Xuefei Xu, Dehua |
author_sort | Shi, Xuefei |
collection | PubMed |
description | We consider a single machine scheduling problem with multiple maintenance activities, where the maintenance duration function is of the linear form f(t) = a+bt 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 = NP, 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. |
format | Online Article Text |
id | pubmed-3950368 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-39503682014-04-03 Best Possible Approximation Algorithms for Single Machine Scheduling with Increasing Linear Maintenance Durations Shi, Xuefei Xu, Dehua ScientificWorldJournal Research Article We consider a single machine scheduling problem with multiple maintenance activities, where the maintenance duration function is of the linear form f(t) = a+bt 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 = NP, 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. Hindawi Publishing Corporation 2014-02-13 /pmc/articles/PMC3950368/ /pubmed/24701177 http://dx.doi.org/10.1155/2014/547573 Text en Copyright © 2014 X. Shi and D. Xu. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Shi, Xuefei Xu, Dehua Best Possible Approximation Algorithms for Single Machine Scheduling with Increasing Linear Maintenance Durations |
title | Best Possible Approximation Algorithms for Single Machine Scheduling with Increasing Linear Maintenance Durations |
title_full | Best Possible Approximation Algorithms for Single Machine Scheduling with Increasing Linear Maintenance Durations |
title_fullStr | Best Possible Approximation Algorithms for Single Machine Scheduling with Increasing Linear Maintenance Durations |
title_full_unstemmed | Best Possible Approximation Algorithms for Single Machine Scheduling with Increasing Linear Maintenance Durations |
title_short | Best Possible Approximation Algorithms for Single Machine Scheduling with Increasing Linear Maintenance Durations |
title_sort | best possible approximation algorithms for single machine scheduling with increasing linear maintenance durations |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3950368/ https://www.ncbi.nlm.nih.gov/pubmed/24701177 http://dx.doi.org/10.1155/2014/547573 |
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