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04-28-2016 03:49 AM

Hello,

how can I make the code for the decomposition approach( http://support.sas.com/documentation/cdl/en/ormpug/67517/HTML/default/viewer.htm#ormpug_decomp_examp... )

work? If I run it, I get the error:

solve with MILP / varsel=ryanfoster decomp=(logfreq=20);

__________

759

22

ERROR 759-782: The value for option VARSEL= is unexpected.

ERROR 22-322: Expecting one of the following: an integer constant, AUTOMATIC, MAXINFEAS, MININFEAS, PSEUDO, STRONG.

And on the internet (https://support.sas.com/rnd/app/or/papers/INFORMS_2014_Fall.pdf) it says, the "classic" MILP-version is available too (?), but I can't find the code. Has anyone the link to the code?

Thanks&kind regards

Accepted Solutions

Solution

04-28-2016
07:08 AM

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Posted in reply to user24feb

04-28-2016 04:25 AM

Hello,

I have executed the example and it work for me. I'm using SAS 9.4, maybe is some restriction from the version that you are using.

Here also some links, probabily you already checked this ones:

https://www.youtube.com/watch?v=kZ8kWIkNKcw

**The sample used as the link you provided:**

```
/* number of vehicles available */
%let num_vehicles = 8;
/* capacity of each vehicle */
%let capacity = 3000;
/* node, x coordinate, y coordinate, demand */
data vrpdata;
input node x y demand;
datalines;
1 145 215 0
2 151 264 1100
3 159 261 700
4 130 254 800
5 128 252 1400
6 163 247 2100
7 146 246 400
8 161 242 800
9 142 239 100
10 163 236 500
11 148 232 600
12 128 231 1200
13 156 217 1300
14 129 214 1300
15 146 208 300
16 164 208 900
17 141 206 2100
18 147 193 1000
19 164 193 900
20 129 189 2500
21 155 185 1800
22 139 182 700
;
run;
proc optmodel;
/* read the node location and demand data */
set NODES;
num x {NODES};
num y {NODES};
num demand {NODES};
num capacity = &capacity;
num num_vehicles = &num_vehicles;
read data vrpdata into NODES=[node] x y demand;
set ARCS = {i in NODES, j in NODES: i ne j};
set VEHICLES = 1..num_vehicles;
/* define the depot as node 1 */
num depot = 1;
/* define the arc cost as the rounded Euclidean distance */
num cost {<i,j> in ARCS} = round(sqrt((x[i]-x[j])^2 + (y[i]-y[j])^2));
/* Flow[i,j,k] is the amount of demand carried on arc (i,j) by vehicle k */
var Flow {ARCS, VEHICLES} >= 0 <= capacity;
/* UseNode[i,k] = 1, if and only if node i is serviced by vehicle k */
var UseNode {NODES, VEHICLES} binary;
/* UseArc[i,j,k] = 1, if and only if arc (i,j) is traversed by vehicle k */
var UseArc {ARCS, VEHICLES} binary;
/* minimize the total distance traversed */
min TotalCost = sum {<i,j> in ARCS, k in VEHICLES} cost[i,j] * UseArc[i,j,k];
/* each non-depot node must be serviced by at least one vehicle */
con Assignment {i in NODES diff {depot}}:
sum {k in VEHICLES} UseNode[i,k] >= 1;
/* each vehicle must start at the depot node */
for{k in VEHICLES} fix UseNode[depot,k] = 1;
/* some vehicle k traverses an arc that leaves node i
if and only if UseNode[i,k] = 1 */
con LeaveNode {i in NODES, k in VEHICLES}:
sum {<(i),j> in ARCS} UseArc[i,j,k] = UseNode[i,k];
/* some vehicle k traverses an arc that enters node i
if and only if UseNode[i,k] = 1 */
con EnterNode {i in NODES, k in VEHICLES}:
sum {<j,(i)> in ARCS} UseArc[j,i,k] = UseNode[i,k];
/* the amount of demand supplied by vehicle k to node i must equal demand
if UseNode[i,k] = 1; otherwise, it must equal 0 */
con FlowBalance {i in NODES diff {depot}, k in VEHICLES}:
sum {<j,(i)> in ARCS} Flow[j,i,k] - sum {<(i),j> in ARCS} Flow[i,j,k]
= demand[i] * UseNode[i,k];
/* if UseArc[i,j,k] = 1, then the flow on arc (i,j) must be at most capacity
if UseArc[i,j,k] = 0, then no flow is allowed on arc (i,j) */
con VehicleCapacity {<i,j> in ARCS, k in VEHICLES}:
Flow[i,j,k] <= Flow[i,j,k].ub * UseArc[i,j,k];
/* decomp by vehicle */
for {i in NODES, k in VEHICLES} do;
LeaveNode[i,k].block = k;
EnterNode[i,k].block = k;
end;
for {i in NODES diff {depot}, k in VEHICLES} FlowBalance[i,k].block = k;
for {<i,j> in ARCS, k in VEHICLES} VehicleCapacity[i,j,k].block = k;
/* solve using decomp (aggregate formulation) */
solve with MILP / varsel=ryanfoster decomp=(logfreq=20);
/* create solution data set */
str color {k in VEHICLES} =
['red' 'green' 'blue' 'black' 'orange' 'gray' 'maroon' 'purple'];
create data node_data from [i] x y;
create data edge_data from [i j k]=
{<i,j> in ARCS, k in VEHICLES: UseArc[i,j,k].sol > 0.5}
x1=x[i] y1=y[i] x2=x[j] y2=y[j] linecolor=color[k];
quit;
data sganno(drop=i j);
retain drawspace "datavalue" linethickness 1;
set edge_data;
function = 'line';
run;
proc sgplot data=node_data sganno=sganno;
scatter x=x y=y / datalabel=i;
xaxis display=none;
yaxis display=none;
run;
```

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Solution

04-28-2016
07:08 AM

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Posted in reply to user24feb

04-28-2016 04:25 AM

Hello,

I have executed the example and it work for me. I'm using SAS 9.4, maybe is some restriction from the version that you are using.

Here also some links, probabily you already checked this ones:

https://www.youtube.com/watch?v=kZ8kWIkNKcw

**The sample used as the link you provided:**

```
/* number of vehicles available */
%let num_vehicles = 8;
/* capacity of each vehicle */
%let capacity = 3000;
/* node, x coordinate, y coordinate, demand */
data vrpdata;
input node x y demand;
datalines;
1 145 215 0
2 151 264 1100
3 159 261 700
4 130 254 800
5 128 252 1400
6 163 247 2100
7 146 246 400
8 161 242 800
9 142 239 100
10 163 236 500
11 148 232 600
12 128 231 1200
13 156 217 1300
14 129 214 1300
15 146 208 300
16 164 208 900
17 141 206 2100
18 147 193 1000
19 164 193 900
20 129 189 2500
21 155 185 1800
22 139 182 700
;
run;
proc optmodel;
/* read the node location and demand data */
set NODES;
num x {NODES};
num y {NODES};
num demand {NODES};
num capacity = &capacity;
num num_vehicles = &num_vehicles;
read data vrpdata into NODES=[node] x y demand;
set ARCS = {i in NODES, j in NODES: i ne j};
set VEHICLES = 1..num_vehicles;
/* define the depot as node 1 */
num depot = 1;
/* define the arc cost as the rounded Euclidean distance */
num cost {<i,j> in ARCS} = round(sqrt((x[i]-x[j])^2 + (y[i]-y[j])^2));
/* Flow[i,j,k] is the amount of demand carried on arc (i,j) by vehicle k */
var Flow {ARCS, VEHICLES} >= 0 <= capacity;
/* UseNode[i,k] = 1, if and only if node i is serviced by vehicle k */
var UseNode {NODES, VEHICLES} binary;
/* UseArc[i,j,k] = 1, if and only if arc (i,j) is traversed by vehicle k */
var UseArc {ARCS, VEHICLES} binary;
/* minimize the total distance traversed */
min TotalCost = sum {<i,j> in ARCS, k in VEHICLES} cost[i,j] * UseArc[i,j,k];
/* each non-depot node must be serviced by at least one vehicle */
con Assignment {i in NODES diff {depot}}:
sum {k in VEHICLES} UseNode[i,k] >= 1;
/* each vehicle must start at the depot node */
for{k in VEHICLES} fix UseNode[depot,k] = 1;
/* some vehicle k traverses an arc that leaves node i
if and only if UseNode[i,k] = 1 */
con LeaveNode {i in NODES, k in VEHICLES}:
sum {<(i),j> in ARCS} UseArc[i,j,k] = UseNode[i,k];
/* some vehicle k traverses an arc that enters node i
if and only if UseNode[i,k] = 1 */
con EnterNode {i in NODES, k in VEHICLES}:
sum {<j,(i)> in ARCS} UseArc[j,i,k] = UseNode[i,k];
/* the amount of demand supplied by vehicle k to node i must equal demand
if UseNode[i,k] = 1; otherwise, it must equal 0 */
con FlowBalance {i in NODES diff {depot}, k in VEHICLES}:
sum {<j,(i)> in ARCS} Flow[j,i,k] - sum {<(i),j> in ARCS} Flow[i,j,k]
= demand[i] * UseNode[i,k];
/* if UseArc[i,j,k] = 1, then the flow on arc (i,j) must be at most capacity
if UseArc[i,j,k] = 0, then no flow is allowed on arc (i,j) */
con VehicleCapacity {<i,j> in ARCS, k in VEHICLES}:
Flow[i,j,k] <= Flow[i,j,k].ub * UseArc[i,j,k];
/* decomp by vehicle */
for {i in NODES, k in VEHICLES} do;
LeaveNode[i,k].block = k;
EnterNode[i,k].block = k;
end;
for {i in NODES diff {depot}, k in VEHICLES} FlowBalance[i,k].block = k;
for {<i,j> in ARCS, k in VEHICLES} VehicleCapacity[i,j,k].block = k;
/* solve using decomp (aggregate formulation) */
solve with MILP / varsel=ryanfoster decomp=(logfreq=20);
/* create solution data set */
str color {k in VEHICLES} =
['red' 'green' 'blue' 'black' 'orange' 'gray' 'maroon' 'purple'];
create data node_data from [i] x y;
create data edge_data from [i j k]=
{<i,j> in ARCS, k in VEHICLES: UseArc[i,j,k].sol > 0.5}
x1=x[i] y1=y[i] x2=x[j] y2=y[j] linecolor=color[k];
quit;
data sganno(drop=i j);
retain drawspace "datavalue" linethickness 1;
set edge_data;
function = 'line';
run;
proc sgplot data=node_data sganno=sganno;
scatter x=x y=y / datalabel=i;
xaxis display=none;
yaxis display=none;
run;
```

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Posted in reply to BrunoSilva

04-28-2016 04:30 AM

Our code is the same, and I am using 9.4 too. Could be a question for SAS-support ..

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Posted in reply to user24feb

04-28-2016 04:40 AM

Probabily...