Author

Mehmet Ulrich

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Open access Jul 2026

Preference-Conditioned Reinforcement Learning for Energy-Aware Multi-Objective Flexible Job Shop Scheduling

This work addresses the resulting Multi-Objective Flexible Job Shop Scheduling Problem by proposing a deep reinforcement learning framework that jointly minimizes makespan and energy cost, and evaluates the approach against NSGA-II and Joined Heuristics on synthetic instances.

Dustin Moreira Simoes, Marvin Brune, Mehmet Ulrich et al. · Applied Sciences · 0 citations