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Solving multi-objective green flexible job shop scheduling problem by an improved chimp optimization algorithm.

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Title: Solving multi-objective green flexible job shop scheduling problem by an improved chimp optimization algorithm.
Authors: Luan, Fei1,2, luanfei@sust.edu.cn, Tang, Biao1, Li, Ye3, Liu, Shi Qiang4, Yang, Xueqin1, Masoud, Mahmoud5,6, Feng, Baoyu7
Source: Journal of Intelligent & Fuzzy Systems; 2024, Vol. 46 Issue 4, p7697-7710, 14p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 176907391
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Solving multi-objective green flexible job shop scheduling problem by an improved chimp optimization algorithm.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+%26+Fuzzy+Systems%22">Journal of Intelligent & Fuzzy Systems</searchLink>; 2024, Vol. 46 Issue 4, p7697-7710, 14p
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3233/JIFS-236157
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 7697
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      – TitleFull: Solving multi-objective green flexible job shop scheduling problem by an improved chimp optimization algorithm.
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            NameFull: Luan, Fei
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            NameFull: Tang, Biao
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            NameFull: Li, Ye
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            NameFull: Liu, Shi Qiang
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            NameFull: Yang, Xueqin
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            NameFull: Masoud, Mahmoud
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            NameFull: Feng, Baoyu
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            – D: 01
              M: 04
              Text: 2024
              Type: published
              Y: 2024
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              Value: 46
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            – TitleFull: Journal of Intelligent & Fuzzy Systems
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