Exploring Reinforcement Learning Solutions to the Vehicle Routing Problem. PPO, A2C, DQN, SAC
-
Updated
Sep 8, 2023 - Jupyter Notebook
#
hgs
Here are 4 public repositories matching this topic...
A full-stack (R&D) Vehicle Routing Problem with Time Windows (VRPTW) comparison platform. Run and benchmark metaheuristic algorithms HGS, ACO, SA, GLS (v0.6.3) & ILS (v0.13+), visualize routes, tune parameters, and explore Solomon benchmark datasets—with an optional AI-assisted RAG Q&A and parameter tuning capabilities.
ils gls vehicle-routing-problem sa local-search simulated-annealing ant-colony-optimization aco time-windows metaheuristics combinatorial-optimization ai-agents route-optimization iterated-local-search vrptw hgs guided-local-search hybrid-genetic-search vehicle-routing-problem-time-windows solomon-dataset
-
Updated
Feb 21, 2026 - TypeScript
Iterated local search (ILS) and hybrid genetic search (HGS) for the hybrid electric vehicle - traveling salesman problem with time windows (HEVTSPTW). From "Hybrid genetic search for the traveling salesman problem with hybrid electric vehicle and time windows. Computers & Operations Research, 155, 2023", by Yure Rocha & Anand Subramanian.
-
Updated
Jul 5, 2022 - C++
Improve this page
Add a description, image, and links to the hgs topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the hgs topic, visit your repo's landing page and select "manage topics."