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A genetic biogeography–based optimization algorithm for the distributed assembly permutation flow–shop scheduling problem.

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Title: A genetic biogeography–based optimization algorithm for the distributed assembly permutation flow–shop scheduling problem.
Authors: Cheng, Long1, Wang, Lei1, wangdalei2000@126.com, Cai, Jingcao1, Caijingcao@mail.ahpu.edu.cn, Xia, Qiangqiang2
Source: International Journal of Modeling, Simulation & Scientific Computing; Apr2026, Vol. 17 Issue 2, p1-22, 22p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193365041
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A genetic biogeography–based optimization algorithm for the distributed assembly permutation flow–shop scheduling problem.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193365041
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1142/S1793962326500042
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      – Code: eng
        Text: English
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        PageCount: 22
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      – TitleFull: A genetic biogeography–based optimization algorithm for the distributed assembly permutation flow–shop scheduling problem.
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            NameFull: Cheng, Long
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            NameFull: Wang, Lei
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            NameFull: Cai, Jingcao
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            – D: 01
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              Text: Apr2026
              Type: published
              Y: 2026
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              Value: 17
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              Value: 2
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            – TitleFull: International Journal of Modeling, Simulation & Scientific Computing
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