7 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CL2026
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…
math.OC2024
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…
math.OC2023★ 7 cited
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…