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

Title:

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

Authors:

Zheng, Qian ^a, Han, Yuyan ^{a, b, ⁎}, Wang, Yuting ^a, Liu, Daqing ^c, Ma, Mingxiao ^a, Meng, Leilei ^a

Source:

In Computers and Electrical Engineering April 2026 132

Database:

ScienceDirect

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

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

Links

Additional functions