A COMPARATIVE STUDY OF METAHEURISTIC ALGORITHMS FOR SCHEDULING ON UNRELATED PARALLEL MACHINES: MINIMIZING WEIGHTED EARLINESS--TARDINESS WITH NON-ZERO RELEASE TIMES AND DISTINCT DUE DATES.
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| Title: | A COMPARATIVE STUDY OF METAHEURISTIC ALGORITHMS FOR SCHEDULING ON UNRELATED PARALLEL MACHINES: MINIMIZING WEIGHTED EARLINESS--TARDINESS WITH NON-ZERO RELEASE TIMES AND DISTINCT DUE DATES. |
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| Authors: | Mota, Alzira1,2 atm@isep.ipp.pt, Ávila, Paulo2,3, Afonso, Luís1, Bastos, João2,3, Putnik, Goran4 |
| Source: | International Journal of Industrial Engineering. 2026, Vol. 33 Issue 2, p218-239. 22p. |
| Subjects: | Metaheuristic algorithms, Tabu search algorithm, Genetic algorithms, Deadlines, Scheduling |
| Abstract: | This study addresses the unrelated parallel machine scheduling problem in a just-in-time manufacturing context, aiming to minimize total weighted earliness and tardiness. The problem formulation incorporates non-zero release times and distinct due dates, reflecting realistic industrial environments. Three hybrid metaheuristic approaches: Genetic Algorithm, Tabu Search, and Variable Neighborhood Search, are proposed and analyzed. The main contribution of this work lies in integrating a linear-programming-based decoding procedure into each metaheuristic to determine job start times and accurately evaluate solution quality, while preserving the general structure of the unrelated parallel machine scheduling problem. The proposed methods are evaluated using a set of medium- and large-scale instances generated for this study. Computational analysis reveals differences in performance among the metaheuristics, with Tabu Search exhibiting the most consistent and effective behavior in terms of solution quality and convergence speed. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Industrial Engineering is the property of International Journal of Industrial Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 193187162 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A COMPARATIVE STUDY OF METAHEURISTIC ALGORITHMS FOR SCHEDULING ON UNRELATED PARALLEL MACHINES: MINIMIZING WEIGHTED EARLINESS--TARDINESS WITH NON-ZERO RELEASE TIMES AND DISTINCT DUE DATES. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mota%2C+Alzira%22">Mota, Alzira</searchLink><relatesTo>1,2</relatesTo><i> atm@isep.ipp.pt</i><br /><searchLink fieldCode="AR" term="%22Ávila%2C+Paulo%22">Ávila, Paulo</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Afonso%2C+Luís%22">Afonso, Luís</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Bastos%2C+João%22">Bastos, João</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Putnik%2C+Goran%22">Putnik, Goran</searchLink><relatesTo>4</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Industrial+Engineering%22">International Journal of Industrial Engineering</searchLink>. 2026, Vol. 33 Issue 2, p218-239. 22p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Metaheuristic+algorithms%22">Metaheuristic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Tabu+search+algorithm%22">Tabu search algorithm</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+algorithms%22">Genetic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Deadlines%22">Deadlines</searchLink><br /><searchLink fieldCode="DE" term="%22Scheduling%22">Scheduling</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study addresses the unrelated parallel machine scheduling problem in a just-in-time manufacturing context, aiming to minimize total weighted earliness and tardiness. The problem formulation incorporates non-zero release times and distinct due dates, reflecting realistic industrial environments. Three hybrid metaheuristic approaches: Genetic Algorithm, Tabu Search, and Variable Neighborhood Search, are proposed and analyzed. The main contribution of this work lies in integrating a linear-programming-based decoding procedure into each metaheuristic to determine job start times and accurately evaluate solution quality, while preserving the general structure of the unrelated parallel machine scheduling problem. The proposed methods are evaluated using a set of medium- and large-scale instances generated for this study. Computational analysis reveals differences in performance among the metaheuristics, with Tabu Search exhibiting the most consistent and effective behavior in terms of solution quality and convergence speed. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Industrial Engineering is the property of International Journal of Industrial Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.23055/ijietap.2026.33.2.11255 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 218 Subjects: – SubjectFull: Metaheuristic algorithms Type: general – SubjectFull: Tabu search algorithm Type: general – SubjectFull: Genetic algorithms Type: general – SubjectFull: Deadlines Type: general – SubjectFull: Scheduling Type: general Titles: – TitleFull: A COMPARATIVE STUDY OF METAHEURISTIC ALGORITHMS FOR SCHEDULING ON UNRELATED PARALLEL MACHINES: MINIMIZING WEIGHTED EARLINESS--TARDINESS WITH NON-ZERO RELEASE TIMES AND DISTINCT DUE DATES. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mota, Alzira – PersonEntity: Name: NameFull: Ávila, Paulo – PersonEntity: Name: NameFull: Afonso, Luís – PersonEntity: Name: NameFull: Bastos, João – PersonEntity: Name: NameFull: Putnik, Goran IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10724761 Numbering: – Type: volume Value: 33 – Type: issue Value: 2 Titles: – TitleFull: International Journal of Industrial Engineering Type: main |
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