2 papers
cs.LG2026
RESCHED: Rethinking Flexible Job Shop Scheduling from a Transformer-based Architecture with Simplified States
Xiangjie Xiao, Cong Zhang, Wen Song +1
Neural approaches to the Flexible Job Shop Scheduling Problem (FJSP), particularly those based on deep reinforcement learning (DRL), have gained growing attention in recent years.…
cs.LG2025
Refining Hybrid Genetic Search for CVRP via Reinforcement Learning-Finetuned LLM
Rongjie Zhu, Cong Zhang, Zhiguang Cao
While large language models (LLMs) are increasingly used as automated heuristic designers for vehicle routing problems (VRPs), current state-of-the-art methods predominantly rely o…