[EN] In this paper we use Monte Carlo Techniques to deal with a real world delivery problem of a food company in Valencia (Spain). The problem is modeled as a set of 11 instances of the well known Vehicle Routing Problem, VRP, with additional time constraints. Given that VRP is a NP-hard problem, a heuristic algorithm, based on Monte Carlo techniques, is implemented. The solution proposed by this heuristic algorithm reaches distance and money savings of about 20% and 5% respectively.This research was partially supported by MICINN, Project MTM2013-43540-P and by UPV, Project Programa de Apoyo a la Investigación y Desarrollo de la UPV PAID-06-12.577181Fernández de Córdoba, P., L.M. García-Raffi and J.M. Sanchis Llopis (1998), A heuristic algo...
Given $n$ identical objects (pegs), placed at arbitrary initial locations, we consider the problem o...
A classical problem in distribution logistics is the problem of designing least cost routes from on...
Solving the Vehicle Routing Problem (VRP) is a key to efficiency in transportation and supply chain ...
This paper reports on the results of the VeRoLog Solver Challenge 2016–2017: the third solver challe...
The Vehicle Routing Problem (VRP) is among the most important and widely researched problems in the...
The Vehicle Routing Problem (VRP) is one of the combinatorial optimization problems most studied in ...
This paper presents an optimization approach which integrates Monte Carlo simulation (MCS) within a ...
[EN] Nowadays, in order to enhance competitiveness, there is a large amount of companies offering lo...
The vehicle-routing problem (VRP) combined with freight-loading problem is a complex and relatively ...
National audienceThis presentation discusses cases of vehicle routing problems where customers can s...
One of the world’s biggest challenges is that living beings have to share a limited amount of resour...
The objective of this article is to present a new methodology for solving the Homogeneous Vehicle Ro...
The Vehicle Routing Problem (VRP) is one of the most optimized tasks studied and it is implemented i...
In this article we present a Vehicle Routing Problem (VRP) faced by a large distribution company in ...
XYZ is a distributor of various consumer goods products. The company plans its deliver...
Given $n$ identical objects (pegs), placed at arbitrary initial locations, we consider the problem o...
A classical problem in distribution logistics is the problem of designing least cost routes from on...
Solving the Vehicle Routing Problem (VRP) is a key to efficiency in transportation and supply chain ...
This paper reports on the results of the VeRoLog Solver Challenge 2016–2017: the third solver challe...
The Vehicle Routing Problem (VRP) is among the most important and widely researched problems in the...
The Vehicle Routing Problem (VRP) is one of the combinatorial optimization problems most studied in ...
This paper presents an optimization approach which integrates Monte Carlo simulation (MCS) within a ...
[EN] Nowadays, in order to enhance competitiveness, there is a large amount of companies offering lo...
The vehicle-routing problem (VRP) combined with freight-loading problem is a complex and relatively ...
National audienceThis presentation discusses cases of vehicle routing problems where customers can s...
One of the world’s biggest challenges is that living beings have to share a limited amount of resour...
The objective of this article is to present a new methodology for solving the Homogeneous Vehicle Ro...
The Vehicle Routing Problem (VRP) is one of the most optimized tasks studied and it is implemented i...
In this article we present a Vehicle Routing Problem (VRP) faced by a large distribution company in ...
XYZ is a distributor of various consumer goods products. The company plans its deliver...
Given $n$ identical objects (pegs), placed at arbitrary initial locations, we consider the problem o...
A classical problem in distribution logistics is the problem of designing least cost routes from on...
Solving the Vehicle Routing Problem (VRP) is a key to efficiency in transportation and supply chain ...