Self-adaptive memetic algorithms for multi-objective single machine learning-effect scheduling problems with release times

This paper proposes a single machine scheduling problem with learning-effect and release times by considering two objectives requiring minimization of makespan and total tardiness, simultaneously. Due to the NP-hardness of this problem, two memetic algorithms with meme variants are presented for sol...

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Published in:	Flexible services and manufacturing journal Vol. 34; no. 3; pp. 748 - 784
Main Author:	Deliktaş, Derya
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.09.2022 Springer Nature B.V
Subjects:	Adaptive algorithms Algorithms Engineering Machine learning Machines Manufacturing Operations Management Operations Research/Decision Theory Processes Scheduling Memetic algorithms Hyper-heuristics Learning effect Single machine scheduling Scalarization methods
ISSN:	1936-6582, 1936-6590
Online Access:	Get full text
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Abstract	This paper proposes a single machine scheduling problem with learning-effect and release times by considering two objectives requiring minimization of makespan and total tardiness, simultaneously. Due to the NP-hardness of this problem, two memetic algorithms with meme variants are presented for solving the bi-objective problem and applied by combining three different scalarization methods, including weighted sum, conic, and tchebycheff. The performance of all memetic algorithms with the meme is investigated across randomly generated twenty-seven test problems ranging from ‘small’ to ‘large’ size. The experimental results indicate that the Multimeme Memetic Algorithm using the tchebycheff outperforms the other algorithms producing the best-known results for almost all bi-objective single machine scheduling instances with learning-effects. All algorithms perform effectively in solving large-sized problems with up to 200 jobs.
AbstractList	This paper proposes a single machine scheduling problem with learning-effect and release times by considering two objectives requiring minimization of makespan and total tardiness, simultaneously. Due to the NP-hardness of this problem, two memetic algorithms with meme variants are presented for solving the bi-objective problem and applied by combining three different scalarization methods, including weighted sum, conic, and tchebycheff. The performance of all memetic algorithms with the meme is investigated across randomly generated twenty-seven test problems ranging from ‘small’ to ‘large’ size. The experimental results indicate that the Multimeme Memetic Algorithm using the tchebycheff outperforms the other algorithms producing the best-known results for almost all bi-objective single machine scheduling instances with learning-effects. All algorithms perform effectively in solving large-sized problems with up to 200 jobs.
Author	Deliktaş, Derya
Author_xml	– sequence: 1 givenname: Derya orcidid: 0000-0003-2676-1628 surname: Deliktaş fullname: Deliktaş, Derya email: deryadeliktas@hotmail.com organization: Department of Industrial Engineering, Faculty of Engineering, Kütahya Dumlupýnar University, Computational Optimisation and Learning (COL) Lab, School of Computer Science, University of Nottingham
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CitedBy_id	crossref_primary_10_1109_TEVC_2022_3175832 crossref_primary_10_1016_j_eswa_2024_124194 crossref_primary_10_1007_s40684_022_00492_2 crossref_primary_10_1108_EC_02_2023_0075 crossref_primary_10_3390_a15110439
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Snippet	This paper proposes a single machine scheduling problem with learning-effect and release times by considering two objectives requiring minimization of makespan...
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SubjectTerms	Adaptive algorithms Algorithms Engineering Machine learning Machines Manufacturing Operations Management Operations Research/Decision Theory Processes Scheduling
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Title	Self-adaptive memetic algorithms for multi-objective single machine learning-effect scheduling problems with release times
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