102 citations · 201 across the 18 of their papers we have counts for
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cs.AI2019
Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction
Jian-Ya Ding, Chao Zhang, Lei Shen +4
Mixed Integer Programming (MIP) is one of the most widely used modeling techniques for combinatorial optimization problems. In many applications, a similar MIP model is solved on a…
cs.AI2019★ 16 cited
Can Sophisticated Dispatching Strategy Acquired by Reinforcement Learning? - A Case Study in Dynamic Courier Dispatching System
Yujie Chen, Yu Qian, Yichen Yao +5
In this paper, we study a courier dispatching problem (CDP) raised from an online pickup-service platform of Alibaba. The CDP aims to assign a set of couriers to serve pickup reque…
cs.AI2017★ 102 cited
Solving a New 3D Bin Packing Problem with Deep Reinforcement Learning Method
Haoyuan Hu, Xiaodong Zhang, Xiaowei Yan +2
In this paper, a new type of 3D bin packing problem (BPP) is proposed, in which a number of cuboid-shaped items must be put into a bin one by one orthogonally. The objective is to…