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Asymptotic Analysis of SPTA-Based Algorithms for No-Wait Flow Shop Scheduling Problem with Release Dates
We address the scheduling problem for a no-wait flow shop to optimize total completion time with release dates. With the tool of asymptotic analysis, we prove that the objective values of two SPTA-based algorithms converge to the optimal value for sufficiently large-sized problems. To further enhanc...
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/PMC3934092/ https://www.ncbi.nlm.nih.gov/pubmed/24764774 http://dx.doi.org/10.1155/2014/979238 |
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author | Ren, Tao Zhang, Chuan Lin, Lin Guo, Meiting Xie, Xionghang |
author_facet | Ren, Tao Zhang, Chuan Lin, Lin Guo, Meiting Xie, Xionghang |
author_sort | Ren, Tao |
collection | PubMed |
description | We address the scheduling problem for a no-wait flow shop to optimize total completion time with release dates. With the tool of asymptotic analysis, we prove that the objective values of two SPTA-based algorithms converge to the optimal value for sufficiently large-sized problems. To further enhance the performance of the SPTA-based algorithms, an improvement scheme based on local search is provided for moderate scale problems. New lower bound is presented for evaluating the asymptotic optimality of the algorithms. Numerical simulations demonstrate the effectiveness of the proposed algorithms. |
format | Online Article Text |
id | pubmed-3934092 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-39340922014-04-24 Asymptotic Analysis of SPTA-Based Algorithms for No-Wait Flow Shop Scheduling Problem with Release Dates Ren, Tao Zhang, Chuan Lin, Lin Guo, Meiting Xie, Xionghang ScientificWorldJournal Research Article We address the scheduling problem for a no-wait flow shop to optimize total completion time with release dates. With the tool of asymptotic analysis, we prove that the objective values of two SPTA-based algorithms converge to the optimal value for sufficiently large-sized problems. To further enhance the performance of the SPTA-based algorithms, an improvement scheme based on local search is provided for moderate scale problems. New lower bound is presented for evaluating the asymptotic optimality of the algorithms. Numerical simulations demonstrate the effectiveness of the proposed algorithms. Hindawi Publishing Corporation 2014-02-09 /pmc/articles/PMC3934092/ /pubmed/24764774 http://dx.doi.org/10.1155/2014/979238 Text en Copyright © 2014 Tao Ren et al. 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 Ren, Tao Zhang, Chuan Lin, Lin Guo, Meiting Xie, Xionghang Asymptotic Analysis of SPTA-Based Algorithms for No-Wait Flow Shop Scheduling Problem with Release Dates |
title | Asymptotic Analysis of SPTA-Based Algorithms for No-Wait Flow Shop Scheduling Problem with Release Dates |
title_full | Asymptotic Analysis of SPTA-Based Algorithms for No-Wait Flow Shop Scheduling Problem with Release Dates |
title_fullStr | Asymptotic Analysis of SPTA-Based Algorithms for No-Wait Flow Shop Scheduling Problem with Release Dates |
title_full_unstemmed | Asymptotic Analysis of SPTA-Based Algorithms for No-Wait Flow Shop Scheduling Problem with Release Dates |
title_short | Asymptotic Analysis of SPTA-Based Algorithms for No-Wait Flow Shop Scheduling Problem with Release Dates |
title_sort | asymptotic analysis of spta-based algorithms for no-wait flow shop scheduling problem with release dates |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3934092/ https://www.ncbi.nlm.nih.gov/pubmed/24764774 http://dx.doi.org/10.1155/2014/979238 |
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