A new version of the vehicle routing problem with backhauls is presented. In this new problem backhauls are not restricted to be visited once all linehaul customers have been served, neither are backhaul customers fully mixed with linehaul customers. In this problem the user based on his or her experience, the vehicle capacity, the type of products and the type of vehicle used, can define the position along a route from which the first backhaul customer may be visited. An insertion-type heuristic is put forward for this class of problems. An analysis of the improvement in route cost obtained by allowing a relaxation in the restriction of the mix of linehaul and backhaul customers is reported
AbstractThis paper raises a novel two-phase heuristic method to solve vehicle routing problems with ...
The mixed vehicle routing problem with backhauls is investigated using ant system heuristic. This di...
Despite the vivid research activity in the sector of the exact methods, nowadays many Optimization P...
In this paper, we are interested in the exact solution of the vehicle routing problem with back-haul...
Suppose that a private carrier delivers to a set of customers and also has a number of (optional) ba...
We investigate an extension to the classical insertion-based heuristic for the vehicle routing probl...
This paper introduces a new variant of the classical Vehicle Routing Problem - the Fleet Size and Mi...
In this paper, a capacitated vehicle routing problem with mixed linehauls and backhauls is presente...
In this paper we present a new variant of the classical Vehicle Routing Problem – the Fleet Size and...
This paper presents an advanced hybrid meta-heuristic algorithm (HMA) to solve the vehicle routing p...
[[abstract]]The purpose of this paper is to determine the route of the vehicle routing problem with ...
Abstract: This paper presents a meta-heuristic, which is based on the Threshold Accepting combined w...
Vehicle Routing Problem with Backhaul and Mixed load (VRPBM) extends the classical Vehicle Routing P...
This paper analyzes the fleet mixed vehicle-routing problem with backhauls, a rich and realistic var...
This paper studies a relatively new variant of the classical Vehicle Routing Problem (VRP) - the Fle...
AbstractThis paper raises a novel two-phase heuristic method to solve vehicle routing problems with ...
The mixed vehicle routing problem with backhauls is investigated using ant system heuristic. This di...
Despite the vivid research activity in the sector of the exact methods, nowadays many Optimization P...
In this paper, we are interested in the exact solution of the vehicle routing problem with back-haul...
Suppose that a private carrier delivers to a set of customers and also has a number of (optional) ba...
We investigate an extension to the classical insertion-based heuristic for the vehicle routing probl...
This paper introduces a new variant of the classical Vehicle Routing Problem - the Fleet Size and Mi...
In this paper, a capacitated vehicle routing problem with mixed linehauls and backhauls is presente...
In this paper we present a new variant of the classical Vehicle Routing Problem – the Fleet Size and...
This paper presents an advanced hybrid meta-heuristic algorithm (HMA) to solve the vehicle routing p...
[[abstract]]The purpose of this paper is to determine the route of the vehicle routing problem with ...
Abstract: This paper presents a meta-heuristic, which is based on the Threshold Accepting combined w...
Vehicle Routing Problem with Backhaul and Mixed load (VRPBM) extends the classical Vehicle Routing P...
This paper analyzes the fleet mixed vehicle-routing problem with backhauls, a rich and realistic var...
This paper studies a relatively new variant of the classical Vehicle Routing Problem (VRP) - the Fle...
AbstractThis paper raises a novel two-phase heuristic method to solve vehicle routing problems with ...
The mixed vehicle routing problem with backhauls is investigated using ant system heuristic. This di...
Despite the vivid research activity in the sector of the exact methods, nowadays many Optimization P...