3 papers
cs.AI2026
DSevolve: Enabling Real-Time Adaptive Scheduling on Dynamic Flexible Job Shop with LLM-Evolved Heuristic Portfolios
Jin Huang, Jie Yang, XinLei Zhou +3
In dynamic flexible job shops, order arrivals, machine breakdowns, and processing-time deviations continually reshape the scheduling state and the priority trade-offs behind dispat…
cs.AI2025
Automatic MILP Model Construction for Multi-Robot Task Allocation and Scheduling Based on Large Language Models
Mingming Peng, Zhendong Chen, Jie Yang +5
With the accelerated development of Industry 4.0, intelligent manufacturing systems increasingly require efficient task allocation and scheduling in multi-robot systems. However, e…
cs.NE2024
Automatic programming via large language models with population self-evolution for dynamic fuzzy job shop scheduling problem
Jin Huang, Xinyu Li, Liang Gao +2
Heuristic dispatching rules (HDRs) are widely used for solving the dynamic fuzzy job shop scheduling problem (DFJSSP). However, their performance is highly sensitive to specific sc…