Multi-Objective Vehicle Routing Problem Applied to Large Scale Post Office Deliveries

12/23/2017
by   Luis A. A. Meira, et al.
0

The number of optimization techniques in the combinatorial domain is large and diversified. Nevertheless, real-world based benchmarks for testing algorithms are few. This work creates an extensible real-world mail delivery benchmark to the Vehicle Routing Problem (VRP) in a planar graph embedded in the 2D Euclidean space. Such problem is multi-objective on a roadmap with up to 25 vehicles and 30,000 deliveries per day. Each instance models one generic day of mail delivery, allowing both comparison and validation of optimization algorithms for routing problems. The benchmark may be extended to model other scenarios.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/18/2016

VRPBench: A Vehicle Routing Benchmark Tool

The number of optimization techniques in the combinatorial domain is lar...
research
08/31/2018

Algoritmos Genéticos Aplicado ao Problema de Roteamento de Veículos

Routing problems are often faced by companies who serve costumers throug...
research
05/28/2020

Dynamic Bi-Objective Routing of Multiple Vehicles

In practice, e.g. in delivery and service scenarios, Vehicle-Routing-Pro...
research
05/23/2021

A review of approaches to modeling applied vehicle routing problems

Due to the practical importance of vehicle routing problems (VRP), there...
research
07/15/2021

An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem

Vehicle routing problem (VRP) is a typical discrete combinatorial optimi...
research
04/14/2020

Towards Realistic Optimization Benchmarks: A Questionnaire on the Properties of Real-World Problems

Benchmarks are a useful tool for empirical performance comparisons. Howe...
research
07/27/2021

Multiperiod Dispatching and Routing for On-Time Delivery in a Dynamic and Stochastic Environment

On-demand delivery has become increasingly popular around the world. Bri...

Please sign up or login with your details

Forgot password? Click here to reset