View in EDS

Deep multi-agent reinforcement learning for dynamic energy-efficient cascaded dual-shop collaborative scheduling with mating operation.

Saved in:
Bibliographic Details
Title: Deep multi-agent reinforcement learning for dynamic energy-efficient cascaded dual-shop collaborative scheduling with mating operation.
Authors: Bao, Haizhu1,2 (AUTHOR), Pan, Quanke1 (AUTHOR) panquanke@shu.edu.cn, Chew, Chee-Meng2 (AUTHOR), Wang, Ling3 (AUTHOR), Gao, Liang4,5 (AUTHOR)
Source: SCIENCE CHINA Information Sciences. Jul2026, Vol. 69 Issue 7, p1-24. 24p.
Database: Mathematics Source
FullText Text:
  Availability: 0
Header DbId: msf
DbLabel: Mathematics Source
An: 194650430
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Deep multi-agent reinforcement learning for dynamic energy-efficient cascaded dual-shop collaborative scheduling with mating operation.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Bao%2C+Haizhu%22">Bao, Haizhu</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pan%2C+Quanke%22">Pan, Quanke</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> panquanke@shu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Chew%2C+Chee-Meng%22">Chew, Chee-Meng</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Ling%22">Wang, Ling</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gao%2C+Liang%22">Gao, Liang</searchLink><relatesTo>4,5</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22SCIENCE+CHINA+Information+Sciences%22">SCIENCE CHINA Information Sciences</searchLink>. Jul2026, Vol. 69 Issue 7, p1-24. 24p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=194650430
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11432-025-4982-5
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 24
        StartPage: 1
    Titles:
      – TitleFull: Deep multi-agent reinforcement learning for dynamic energy-efficient cascaded dual-shop collaborative scheduling with mating operation.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Bao, Haizhu
      – PersonEntity:
          Name:
            NameFull: Pan, Quanke
      – PersonEntity:
          Name:
            NameFull: Chew, Chee-Meng
      – PersonEntity:
          Name:
            NameFull: Wang, Ling
      – PersonEntity:
          Name:
            NameFull: Gao, Liang
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 1674733X
          Numbering:
            – Type: volume
              Value: 69
            – Type: issue
              Value: 7
          Titles:
            – TitleFull: SCIENCE CHINA Information Sciences
              Type: main
ResultId 1