The Vehicle Routing Problem

First introduced by Dantzig and Ramser in 1959, the VRP is one of the most studied — and most challenging — combinatorial optimization problems. It asks for the optimal set of routes for a fleet of vehicles that must serve a given set of geographically dispersed customers.

This site is dedicated to the study of the Vehicle Routing Problem. It compiles, in one place and with open access, a great deal of information about the problem: its most common variants, mathematical formulations, benchmark instances, the main exact, heuristic and metaheuristic solution techniques, computational results, a classified bibliography and a curated collection of related links.

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What is VRP?

An informal introduction to the problem, why it matters in transportation and logistics, and its relation with the TSP and Bin Packing problems.

Read the introduction →

VRP Variants

Capacitated VRP, time windows, multiple depots, split deliveries, backhauls, pickup & delivery, periodic and stochastic VRP, and more.

Browse the variants →

Benchmark Instances

The classic benchmark sets used in the literature — Solomon, Cordeau, Golden, Taillard, VRPLIB and others — with their file formats.

See the instances →

Solution Techniques

From Clarke & Wright savings and branch & bound to tabu search, genetic algorithms, ant colonies and constraint programming.

Discover the methods →

Results

Computational experiments comparing classic heuristics and metaheuristics on well-known benchmark instances.

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Bibliography & Links

A classified bibliography on the VRP and a curated list of journals, research groups, software and data repositories.

Bibliography → Links →