12 citations · 20 across the 13 of their papers we have counts for
4 papers · 1 filter
Reinforcement Learning Enhanced LLM Agents for Complex Vehicle Routing Problems
Yi Chen, Zikang Yu, Jiahai Wang +3
Vehicle Routing Problems (VRPs) are fundamental combinatorial optimization problems with widespread applications in various scenarios. The advanced optimization solvers can effecti…
Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization Problems
Zizhen Zhang, Zhiyuan Wu, Hang Zhang +1
Deep reinforcement learning (DRL) has recently shown its success in tackling complex combinatorial optimization problems. When these problems are extended to multiobjective ones, i…
A Tabu Search Algorithm for the Multi-period Inspector Scheduling Problem
Hu Qin, Zizhen Zhang, Yubin Xie +1
This paper introduces a multi-period inspector scheduling problem (MPISP), which is a new variant of the multi-trip vehicle routing problem with time windows (VRPTW). In the MPISP,…
An Enhanced Branch-and-bound Algorithm for the Talent Scheduling Problem
Zizhen Zhang, Hu Qin, Xiaocong Liang +1
The talent scheduling problem is a simplified version of the real-world film shooting problem, which aims to determine a shooting sequence so as to minimize the total cost of the a…