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An efficient multi-objective evolutionary algorithm for solving a collaborative disassembly sequence planning problem considering human–robot collaboration

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Τίτλος: An efficient multi-objective evolutionary algorithm for solving a collaborative disassembly sequence planning problem considering human–robot collaboration
Συγγραφείς: Zhang, XuesongAff1, Fathollahi-Fard, Amir M.Aff2, Pham, Duc TruongAff3, Zhao, QiangAff1, IDs10479025068124_cor1, Wong, Kuan YewAff4, Tian, GuangdongAff5
Πηγή: Annals of Operations Research. 364(2):2311-2360
Βάση Δεδομένων: Springer Nature Journals
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  – Url: https://dx.doi.org/doi:10.1007/s10479-025-06812-4
    Name: EDS - Springer Nature Journals (s7799221)
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  Data: An efficient multi-objective evolutionary algorithm for solving a collaborative disassembly sequence planning problem considering human–robot collaboration
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  Data: <i>Annals of Operations Research</i>. 364(2):2311-2360
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        Value: 10.1007/s10479-025-06812-4
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      – Text: English
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        PageCount: 50
        StartPage: 2311
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      – TitleFull: An efficient multi-objective evolutionary algorithm for solving a collaborative disassembly sequence planning problem considering human–robot collaboration
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            NameFull: Zhang, Xuesong
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            NameFull: Fathollahi-Fard, Amir M.
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            NameFull: Pham, Duc Truong
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            NameFull: Zhao, Qiang
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            NameFull: Wong, Kuan Yew
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          Dates:
            – D: 01
              M: 09
              Type: published
              Y: 2026
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              Value: 364
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