Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Although several surveys on Neural Combinatorial Optimization (NCO) solvers specifically
designed to solve Vehicle Routing Problems (VRPs) have been conducted. These existing …
designed to solve Vehicle Routing Problems (VRPs) have been conducted. These existing …
Rl4co: an extensive reinforcement learning for combinatorial optimization benchmark
We introduce RL4CO, an extensive reinforcement learning (RL) for combinatorial
optimization (CO) benchmark. RL4CO employs state-of-the-art software libraries as well as …
optimization (CO) benchmark. RL4CO employs state-of-the-art software libraries as well as …
Parco: Learning parallel autoregressive policies for efficient multi-agent combinatorial optimization
Multi-agent combinatorial optimization problems such as routing and scheduling have great
practical relevance but present challenges due to their NP-hard combinatorial nature, hard …
practical relevance but present challenges due to their NP-hard combinatorial nature, hard …
Exploring the potential of deep Q learning on solving the dynamic storage location assignment problem
JD Vries - 2024 - essay.utwente.nl
This research tackles the dynamic storage location assignment problem with a specialised
deep reinforcement learning algorithm. The formulation of the dynamic storage location …
deep reinforcement learning algorithm. The formulation of the dynamic storage location …