Operation Research

Operations research (OR) employs mathematical modeling to optimize decision-making across diverse fields. Current research emphasizes automating model creation and solution finding, leveraging advancements in large language models (LLMs) and reinforcement learning (RL) to address complex problems like the traveling salesman problem and multi-graph matching. These techniques, often integrated with established OR algorithms like genetic algorithms and value iteration (sometimes accelerated via GPUs), aim to improve efficiency and scalability, particularly for large-scale problems in areas such as logistics, healthcare, and industrial engineering. The resulting improvements in model formulation and solution speed have significant implications for both theoretical advancements and practical applications.