Optimization of hybrid flow shop scheduling with batch processing and variable sublots via a multi-agent deep reinforcement learning–guided hybrid algorithm

No abstract is available for this paper.

• Publication year

  2026

• Venue

  Computers & electrical engineering

• Publication date

  2026-04-01

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1016/j.compeleceng.2026.110987
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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