The aim of the Capacitated Vehicle Routing Problem (CVRP) is to find a set of minimum total cost routes for a fleet of capacitated vehicles based at a single depot, to serve a set of customers. There exist various integer linear programming models of the CVRP. One of the main differences lies in the way to eliminate sub-tours, i.e. cycles that do not go through the depot. In this paper, we describe a well-known flow formulation of CVRP, where sub-tour elimination constraints have a cardinality exponentially growing with the number of customers. Then we present a mixed linear programming formulation with polynomial cardinality of sub-tour elimination constraints. Both of the models were implemented and compared on several benchmarks
International audienceThe Vehicle Routing Problem (VRP) is a well-known and extensively studied prob...
Given a set of clients with demands, the Capacitated Vehicle Routing problem is to find a set of tou...
Vehicle routing is a class of combinatorial optimization problems in transportation and logistics. M...
The aim of the Capacitated Vehicle Routing Problem (CVRP) is to find a set of minimum total cost rou...
The Capacitated Vehicle Routing Problem (CVRP) is a classic combinatorial optimization problem for w...
AbstractWe consider two types of hop-indexed models for the unit-demand asymmetric Capacitated Vehic...
The Capacitated Vehicle Routing Problem (CVRP) is an NP-Hard problem, which means it is impossible t...
In this chapter we present an overview of the early exact methods used for the solution of the Capac...
In this work, a new variant of the Capacitated Vehicle Routing Problem (CVRP) is presented where th...
The solution of a vehicle routing problem calls for the determination of a set of routes, each perfo...
In this paper, we present a branch-and-cut algorithm to solve the Capacitated Vehicle Routing Proble...
Cost of transportation of goods and services is an interesting topic in today’s society. The Capacit...
The Capacitated Vehicle Routing Problem is a much-studied (and strongly NP-hard) combinatorial optim...
AbstractIn this paper we review the exact algorithms based on the branch and bound approach proposed...
The Vehicle Routing Problem (VRP) is a generalization of the Traveling Salesman Problem (TSP) and is...
International audienceThe Vehicle Routing Problem (VRP) is a well-known and extensively studied prob...
Given a set of clients with demands, the Capacitated Vehicle Routing problem is to find a set of tou...
Vehicle routing is a class of combinatorial optimization problems in transportation and logistics. M...
The aim of the Capacitated Vehicle Routing Problem (CVRP) is to find a set of minimum total cost rou...
The Capacitated Vehicle Routing Problem (CVRP) is a classic combinatorial optimization problem for w...
AbstractWe consider two types of hop-indexed models for the unit-demand asymmetric Capacitated Vehic...
The Capacitated Vehicle Routing Problem (CVRP) is an NP-Hard problem, which means it is impossible t...
In this chapter we present an overview of the early exact methods used for the solution of the Capac...
In this work, a new variant of the Capacitated Vehicle Routing Problem (CVRP) is presented where th...
The solution of a vehicle routing problem calls for the determination of a set of routes, each perfo...
In this paper, we present a branch-and-cut algorithm to solve the Capacitated Vehicle Routing Proble...
Cost of transportation of goods and services is an interesting topic in today’s society. The Capacit...
The Capacitated Vehicle Routing Problem is a much-studied (and strongly NP-hard) combinatorial optim...
AbstractIn this paper we review the exact algorithms based on the branch and bound approach proposed...
The Vehicle Routing Problem (VRP) is a generalization of the Traveling Salesman Problem (TSP) and is...
International audienceThe Vehicle Routing Problem (VRP) is a well-known and extensively studied prob...
Given a set of clients with demands, the Capacitated Vehicle Routing problem is to find a set of tou...
Vehicle routing is a class of combinatorial optimization problems in transportation and logistics. M...