Capacitated Vehicle Routing Problem Library¶
There is a library in AIMMS that solves a Capacitated Vehicle Routing Problem (CVRP). This article explains how to use that library in your own model. There are different ways to formulate a CVRP. In the CVRP library there are four options to choose from, which will be mentioned in this article.
Capacitated Vehicle Routing Problem¶
A CVRP deals with the following problem: A set is given with a depot and multiple costumers. The distances between their locations are known. A number of vehicles is available to serve the costumers. All costumers have a certain demand and the vehicles have the same maximum capacity. The shortest route for the vehicles must be found where all costumers get their demand. The vehicles all start and end at the depot.
How to use the Library¶
You should add the library to your model. (This article explains how to do that: https://howto.aimms.com/Articles/84/84usinglibraries.html)
One of the required input arguments is
s_Formulations
. You should make this set a subset ofcvrpl::PossibleFormulations
. Which is a set inside the library with all possible formulations.When you choose a formulation without time windows, the library can be called with the procedure
cvrpl::pr_NoTimeWindows
. If you choose the formulation with time windows, the library can be called with the procedurecvrpl::pr_CVRPLibrary
. They have the following input and output arguments:
cvrpl::pr_CapacitatedVehicleRoutingProblem
(s_Formulations, s_Nodes, p_NumberOfVehicles, p01_MaxorExact,
p_Distance, p_Demand, p_Capacity, p_TotalDistance, p01_x, p_BoundTotalDist,
sp_SolverStatus, sp_ProgramStatus, p_SolverTime);
cvrpl::pr_CapacitatedVehicleRoutingProblemTimeWindows(
s_Formulations, s_Nodes, p_NumberOfVehicles, p01_MaxorExact,
p_Distance, p_Demand, p_Capacity, p_TWLowerBound, p_TWUpperBound, p_ServiceTime,
p_TotalDistance, p01_x, p_StartServing, p_BoundTotalDist, sp_SolverStatus,
sp_ProgramStatus, p_SolverTime);
Input and output arguments¶
Input Arguments 
Type 
Index 
Index Domain 

s_Formulations 
Set 

s_Nodes 
Set 
i, j 

p_NumberOfVehicles 
Parameter 

p01_MaxorExact 
Parameter (binair) 

p_Distance 
Parameter 
(i, j) 

p_Demand 
Parameter 
( i ) 

p_Capacity 
Parameter 
( k ) 

p_TWLowerBound * 
Parameter 
( i ) 

p_TWUpperBound * 
Parameter 
( i ) 

p_ServiceTime * 
Parameter 
(i, j) 
s_Formulations
should contain the formulation you want to use to solve the problem, choosing from:
‘Explicit DantzigFulkersonJohnson’, ‘MillerTuckerZemlin’, ‘Implicit DantzigFulkersonJohnson’ or ‘Time Windows’
The set s_Nodes
contains the depot and all costumers. p_MaxorExact
is a binary parameter that indicates whether p_NumberOfVehicles
is a maximum or an exact amount. If p_MaxorExact
is 0, then a maximum of p_NumberOfVehicles
can be used. If p_MaxorExact
is 1, then exactly p_NumberOfVehicles
should be used. p_Distance
describes the distance between two nodes. When there is no road between two nodes, you can just leave the value for that distance empty.
These input arguments are only necessary when you use time windows.
p_TWLowerBound
andp_TWUpperBound
indicate the time in between which a vehicle should arrive at nodei
.p_ServiceTime
denotes the time it takes to get from nodei
to nodej
. It may include the service time at nodei
.
Output Arguments 
Type 
Index 
Index Domain 

p_TotalDistance 
Parameter 

p01_x 
Parameter (binair) 
(i, j, k)  i <> j 

p_StartServing * 
Parameter 
( i ) 

p_BoundTotalDist 
Parameter 

sp_SolverStatus 
String Parameter 

sp_ProgramStatus 
String Parameter 

p_SolverTime 
Parameter 
p_TotalDistance
is the total distance of the shortest route. p01_x
is a binary variable with a value of 1
if the road from i
to j
is in the shortest route and is driven by vehicle k
. p_BoundTotalDist
is the lower bound of the total distance. The last three arguments provide information on how the program was executed.
The output argument
p_StartServing
is only necessary when you use time windows. It denotes the time that a vehicle should arrive at node i.
More information¶
 The general formulation of a CVRP used in the library is described in the following article:
 The four different formulations are explained in the following articles:
 These formulations are compared in this article: