OptFrame - Optimization Framework

The Python SDK for Nextmv

Research Project

Optimized Routing for Electric Delivery Vehicles

Get started with Timefold quickstarts here. Timefold is the successor of OptaPlanner, by the OptaPlanner team. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems

The open source AI solver. Timefold is the successor of OptaPlanner, by the OptaPlanner team. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems

Optimizing vehicle routing for efficient delivery of goods to various customer locations while minimizing costs. This project implements algorithms to solve the Capacitated Vehicle Routing Problem (CVRP) using Python and frameworks like Google OR-Tools and the nearest neighbor heuristic, with the latter being used for comparison purposes.

Nextmv nextroute VRP solver

ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

ROS package mirror of Google OR-Tools

Implementation of dynamic vehicle routing (DVR) algorithms in a truely distributed fashion based on ROS 2.

A Vehicle Routing Problem solver

[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time

Vehicle Routing Open-source Optimization Machine

Pre-built decision models serving as the base for Marketplace subscription apps.

Final Degree Project: Optimization of Truck Logistics Web Service in collaboration with Monentia & University of Las Palmas de Gran Canaria.

Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.

Implementation of the algorithms proposed in the research project "Exact Methods for the SARP problem". The following is the abstract of the project.

KTH Artificial Intelligence (DD2380) final project VRP implemented in IP, PDDL and RL

[ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"