7 citations · 9 across the 4 of their papers we have counts for
5 papers
LLM-Based Exogenous World Modeling for Dynamic Scheduling
Ni Zhang, Haofeng Yuan, Jianan Zhou +2
Dynamic scheduling requires dispatching online arrivals while anticipating future jobs, as poor decisions can compound downstream costs under nonlinear tardiness objectives. We sho…
FormuEvo: LLM-Guided Evolution for Discovering Solver-Efficient Mixed-Integer Programming Formulations
Haofeng Yuan, Jianing Peng, Jieyi Bi +3
Mixed-integer programming (MIP) lies at the core of operations research and industrial optimization. While large language models (LLMs) have recently shown promise in automated MIP…
Deep Reinforcement Learning for Traveling Purchaser Problems
Haofeng Yuan, Rongping Zhu, Wanlu Yang +4
The traveling purchaser problem (TPP) is an important combinatorial optimization problem with broad applications. Due to the coupling between routing and purchasing, existing works…
A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation
Haofeng Yuan, Lichang Fang, Shiji Song
Column generation (CG) is one of the most successful approaches for solving large-scale linear programming (LP) problems. Given an LP with a prohibitively large number of variables…
The Neural-Prediction based Acceleration Algorithm of Column Generation for Graph-Based Set Covering Problems
Haofeng Yuan, Peng Jiang, Shiji Song
Set covering problem is an important class of combinatorial optimization problems, which has been widely applied and studied in many fields. In this paper, we propose an improved c…