8 citations · 8 across the 3 of their papers we have counts for
3 papers
math.OC2023
Threshold-aware Learning to Generate Feasible Solutions for Mixed Integer Programs
Taehyun Yoon, Jinwon Choi, Hyokun Yun +1
Finding a high-quality feasible solution to a combinatorial optimization (CO) problem in a limited time is challenging due to its discrete nature. Recently, there has been an incre…
math.OC2022
Confidence Threshold Neural Diving
Taehyun Yoon
Finding a better feasible solution in a shorter time is an integral part of solving Mixed Integer Programs. We present a post-hoc method based on Neural Diving to build heuristics…
math.OC2021★ 8 cited
A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone
Aigerim Bogyrbayeva, Taehyun Yoon, Hanbum Ko +3
Reinforcement learning has recently shown promise in learning quality solutions in many combinatorial optimization problems. In particular, the attention-based encoder-decoder mode…