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Henrietta Ify Ojarikre

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#reinforcement learning Open access Sep 2026

A SETUP-AWARE DEEP REINFORCEMENT LEARNING FRAMEWORK FOR SINGLE-MACHINE SCHEDULING WITH SEQUENCE-DEPENDENT SETUP TIMES USING PROXIMAL POLICY OPTIMIZATION (PPO)

The Single-Machine Scheduling Problem with Sequence-Dependent Setup Times (SMSP-SDST) is a classical NP-hard combinatorial optimization problem encountered in intelligent manufacturing, production planning, semiconductor processing, logistics, and adaptive production systems. Conventional exact optimization techniques...

Sunday Obokenuenu Emmanuel Inonoje, Jonathan Tsetimi, Henrietta Ify Ojarikre · 0 citations

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