cvrptw

Solving the Capacitated Vehicle Routing Problem with Time Windows (CVRPTW) using Mixed Integer Linear Programming (MILP) in Python with the Gurobi API.

RouteOpt

Large Neighborhood Search based on Neural Construction Heuristics

Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention

A solution checker for CVRPTW (Gehring-Homberger) and PDP (Li-Lim) solutions in Sintef format, plus a clone of best known solutions from https://www.sintef.no/projectweb/top/, and an automated table generator for them.

An integrated repository containing routing tools with curated benchmarks including a website suite for curated benchmark presentation. Currently focused on CVRP, VRPTW, TDVRP and TDVRPTW with plans to extend it to other variants.

Google or-tools implementation examples

Feasibility Intensive Genetic Algorithm (FIGA) for the Capacitated Vehicle Routing Problem with Time Windows (CVRPTW)

Dockerized VROOM (backend + express api)

Vehicle Routing Problem with Time Windows data from SINTEF (https://www.sintef.no/projectweb/top/vrptw/homberger-benchmark/) with daily updates

My Edinburgh Napier University Honours Project: investigating the multi-objective Capacitated Vehicle Routing Problem with Time Windows (CVRPTW).

a realization of MA algorithm for solving CVRPTW

Coupled fleet, infrastructure and deployment optimization of heterogeneous van fleets with alternative drives (E-C-VRP-HF-TW)

Alimentation Deep Multiple Optimal Ant Colony Optimization to solve Vehicle Routing Problem with Time Windows.

laboratory works for combinatoric optimization course

Capacitated Vehicle Routing Problem (CVRP) using the sweeping algorithm

Inference phase for AMO-ACO to solve CVRPTW

This project solves CVRPTW using Solomon's 100 customers Problems Instances by Solomon I1 algorithm.

GreyJack Solver is a "jack of all trades" constraint metaheuristic solver for Python, built on the robust foundations of Rust and Polars

Multi-echelon supply chain optimization system integrating stochastic demand forecasting, global inventory control, and distribution planning under uncertainty — applied AI and operations research across a 3-echelon, 9-node, 1,000-SKU network with real-time decision support.