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Machine scheduling instance generation by reverse engineering from instance space analysis.

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Bibliographic Details
Title: Machine scheduling instance generation by reverse engineering from instance space analysis.
Authors: Gahm, Christian1 (AUTHOR) christian.gahm@uni-a.de, Wimmer, Michael1 (AUTHOR), Tuma, Axel1 (AUTHOR)
Source: European Journal of Operational Research. May2026, Vol. 330 Issue 3, p760-779. 20p.
Database: Business Source Ultimate
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  Availability: 0
Header DbId: bsu
DbLabel: Business Source Ultimate
An: 191350973
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Machine scheduling instance generation by reverse engineering from instance space analysis.
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  Data: <searchLink fieldCode="AR" term="%22Gahm%2C+Christian%22">Gahm, Christian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> christian.gahm@uni-a.de</i><br /><searchLink fieldCode="AR" term="%22Wimmer%2C+Michael%22">Wimmer, Michael</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tuma%2C+Axel%22">Tuma, Axel</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Operational+Research%22">European Journal of Operational Research</searchLink>. May2026, Vol. 330 Issue 3, p760-779. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=191350973
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.ejor.2025.10.029
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 20
        StartPage: 760
    Titles:
      – TitleFull: Machine scheduling instance generation by reverse engineering from instance space analysis.
        Type: main
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            NameFull: Gahm, Christian
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            NameFull: Wimmer, Michael
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            NameFull: Tuma, Axel
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 330
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            – TitleFull: European Journal of Operational Research
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