A discrete artificial bee colony algorithm for the no-idle permutation flowshop scheduling problem with the total tardiness criterion

dc.contributor.author M. Fatih Tasgetiren
dc.contributor.author Quan-Ke Pan
dc.contributor.author P. N. Suganthan
dc.contributor.author Adalet Oner
dc.contributor.author Suganthan, P.N.
dc.contributor.author Tasgetiren, M. Fatih
dc.contributor.author Fatih Tasgetiren, M.
dc.contributor.author Oner, Adalet
dc.contributor.author Pan, Quan-Ke
dc.date JUN 1
dc.date.accessioned 2025-10-06T16:22:39Z
dc.date.issued 2013
dc.description.abstract In this paper we present a discrete artificial bee colony algorithm to solve the no-idle permutation flowshop scheduling problem with the total tardiness criterion. The no-idle permutation flowshop problem is a variant of the well-known permutation flowshop scheduling problem where idle time is not allowed on machines. In other words the start time of processing the first job on a given machine must be delayed in order to satisfy the no-idle constraint. The paper presents the following contributions: First of all a discrete artificial bee colony algorithm is presented to solve the problem on hand first time in the literature. Secondly some novel methods of calculating the total tardiness from make-span are introduced for the no-idle permutation flowshop scheduling problem. Finally the main contribution of the paper is due to the fact that a novel speed-up method for the insertion neighborhood is developed for the total tardiness criterion. The performance of the discrete artificial bee colony algorithm is evaluated against a traditional genetic algorithm. The computational results show its highly competitive performance when compared to the genetic algorithm. Ultimately we provide the best known solutions for the total tardiness criterion with different due date tightness levels for the first time in the literature for the Taillard's benchmark suit. (C) 2013 Elsevier Inc. All rights reserved.
dc.description.sponsorship M. Fatih Tasgetiren acknowledges the support provided by the TUBITAK (The Scientific and Technological Research Council of Turkey) under the grant # 110M622 . In addition, this research is partially supported by National Science Foundation of China under Grants 61174187 .
dc.description.sponsorship TUBITAK (The Scientific and Technological Research Council of Turkey) [110M622]; National Science Foundation of China [61174187]
dc.description.sponsorship TUBITAK; National Natural Science Foundation of China, NSFC, (61174187); Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, TÜBITAK, (110M622)
dc.identifier.doi 10.1016/j.apm.2013.02.011
dc.identifier.issn 0307-904X
dc.identifier.issn 1872-8480
dc.identifier.scopus 2-s2.0-84878203450
dc.identifier.uri http://dx.doi.org/10.1016/j.apm.2013.02.011
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/7491
dc.identifier.uri https://doi.org/10.1016/j.apm.2013.02.011
dc.language.iso English
dc.publisher ELSEVIER SCIENCE INC
dc.relation.ispartof Applied Mathematical Modelling
dc.rights info:eu-repo/semantics/closedAccess
dc.source APPLIED MATHEMATICAL MODELLING
dc.subject Artificial bee colony algorithm, No-idle permutation flowshop scheduling problem, Metaheuristics, Evolutionary algorithms, Genetic algorithm
dc.subject MINIMIZE, MACHINE, WAIT, OPTIMIZATION, SHOPS, TIME
dc.subject Artificial Bee Colony Algorithm
dc.subject Genetic Algorithm
dc.subject Metaheuristics
dc.subject No-Idle Permutation Flowshop Scheduling Problem
dc.subject Evolutionary Algorithms
dc.title A discrete artificial bee colony algorithm for the no-idle permutation flowshop scheduling problem with the total tardiness criterion
dc.type Article
dspace.entity.type Publication
gdc.author.id Tasgetiren, M Fatih/0000-0001-8625-3671
gdc.author.id Suganthan, Ponnuthurai Nagaratnam/0000-0003-0901-5105
gdc.author.id Tasgetiren, Mehmet Fatih/0000-0002-5716-575X
gdc.author.id Pan, QUAN-KE/0000-0002-5022-7946
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gdc.author.wosid Oner, Adalet/U-5400-2019
gdc.author.wosid Suganthan, Ponnuthurai Nagaratnam/A-5023-2011
gdc.author.wosid Pan, QUAN-KE/F-2019-2013
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gdc.description.departmenttemp [Tasgetiren, M. Fatih; Oner, Adalet] Yasar Univ, Dept Ind Engn, Izmir, Turkey; [Pan, Quan-Ke] Liaocheng Univ, Coll Comp Sci, Liaocheng, Peoples R China; [Suganthan, P. N.] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
gdc.description.endpage 6779
gdc.description.issue 10-11
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
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gdc.description.volume 37
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gdc.oaire.keywords no-idle permutation flowshop scheduling problem
gdc.oaire.keywords metaheuristics
gdc.oaire.keywords Deterministic scheduling theory in operations research
gdc.oaire.keywords :Engineering::Electrical and electronic engineering [DRNTU]
gdc.oaire.keywords genetic algorithm
gdc.oaire.keywords artificial bee colony algorithm
gdc.oaire.keywords evolutionary algorithms
gdc.oaire.keywords Approximation methods and heuristics in mathematical programming
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gdc.virtual.author Öner, Adalet
gdc.virtual.author Taşgetiren, Mehmet Fatih
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person.identifier.orcid Suganthan- Ponnuthurai Nagaratnam/0000-0003-0901-5105, Pan- QUAN-KE/0000-0002-5022-7946, Tasgetiren- Mehmet Fatih/0000-0002-5716-575X, Tasgetiren- M. Fatih/0000-0001-8625-3671
project.funder.name TUBITAK (The Scientific and Technological Research Council of Turkey) [110M622], National Science Foundation of China [61174187]
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