Integrating meta-heuristics and Q-learning for solving hybrid flow shop scheduling and rescheduling problems with reentrant.

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Title: Integrating meta-heuristics and Q-learning for solving hybrid flow shop scheduling and rescheduling problems with reentrant.
Authors: Peng, Qi1, pq2873831813@163.com, Gao, Kaizhou1,2, kzgao@must.edu.mo, Fu, Yaping3, fuyaping0432@163.com, Li, Junqing4, lijunqing@ynnu.edu.cn, Rahman, Humyun Fuad5, fuad.rahman@newcastle.ac.uk
Source: Journal of Industrial & Management Optimization; Oct2025, Vol. 21 Issue 10, p1-21, 21p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188432700
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Integrating meta-heuristics and Q-learning for solving hybrid flow shop scheduling and rescheduling problems with reentrant.
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  Data: <searchLink fieldCode="AU" term="%22Peng%2C+Qi%22">Peng, Qi</searchLink><relatesTo>1</relatesTo>, <i>pq2873831813@163.com</i><br /><searchLink fieldCode="AU" term="%22Gao%2C+Kaizhou%22">Gao, Kaizhou</searchLink><relatesTo>1,2</relatesTo>, <i>kzgao@must.edu.mo</i><br /><searchLink fieldCode="AU" term="%22Fu%2C+Yaping%22">Fu, Yaping</searchLink><relatesTo>3</relatesTo>, <i>fuyaping0432@163.com</i><br /><searchLink fieldCode="AU" term="%22Li%2C+Junqing%22">Li, Junqing</searchLink><relatesTo>4</relatesTo>, <i>lijunqing@ynnu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Rahman%2C+Humyun+Fuad%22">Rahman, Humyun Fuad</searchLink><relatesTo>5</relatesTo>, <i>fuad.rahman@newcastle.ac.uk</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Industrial+%26+Management+Optimization%22">Journal of Industrial & Management Optimization</searchLink>; Oct2025, Vol. 21 Issue 10, p1-21, 21p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188432700
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      – Type: doi
        Value: 10.3934/jimo.2025121
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      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 1
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      – TitleFull: Integrating meta-heuristics and Q-learning for solving hybrid flow shop scheduling and rescheduling problems with reentrant.
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            NameFull: Peng, Qi
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            NameFull: Gao, Kaizhou
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            NameFull: Fu, Yaping
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            NameFull: Li, Junqing
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            NameFull: Rahman, Humyun Fuad
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            – D: 01
              M: 10
              Text: Oct2025
              Type: published
              Y: 2025
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