model:
sets:
stim/1..5/:cap,dem, left;
link(stim,stim):tran, cost;
endsets
data:
cap=200 300 0 0 0 ;
dem=0 0 100 200 50;
cost=
0 6 7 8 9
6 0 5 4 3
7 2 0 5 1
1 5 1 0 4
8 9 7 6 0;
enddata
min=@sum(link:tran*cost);
@for(link(i,j)|i#eq#j:tran=0);
@for(stim(i)|i#le#2:@sum(link(i,j)|i#ne#j:tran(i,j))<=cap(i));
@for(stim(i)|i#ge#3:@sum(link(j,i)|j#lt#3:tran(j,i))-@sum(link(i,k)|k#gt#2:tran(i,k))=dem(i));
Global optimal solution found.
Objective value: 1550.000
Infeasibilities: 0.000000
Total solver iterations: 4
Variable Value Reduced Cost
CAP( 1) 200.0000 0.000000
CAP( 2) 300.0000 0.000000
CAP( 3) 0.000000 0.000000
CAP( 4) 0.000000 0.000000
CAP( 5) 0.000000 0.000000
DEM( 1) 0.000000 0.000000
DEM( 2) 0.000000 0.000000
DEM( 3) 100.0000 0.000000
DEM( 4) 200.0000 0.000000
DEM( 5) 50.00000 0.000000
LEFT( 1) 0.000000 0.000000
LEFT( 2) 0.000000 0.000000
LEFT( 3) 0.000000 0.000000
LEFT( 4) 0.000000 0.000000
LEFT( 5) 0.000000 0.000000
TRAN( 1, 1) 0.000000 0.000000
TRAN( 1, 2) 0.000000 6.000000
TRAN( 1, 3) 50.00000 0.000000
TRAN( 1, 4) 0.000000 2.000000
TRAN( 1, 5) 0.000000 4.000000
TRAN( 2, 1) 0.000000 8.000000
TRAN( 2, 2) 0.000000 0.000000
TRAN( 2, 3) 50.00000 0.000000
TRAN( 2, 4) 200.0000 0.000000
TRAN( 2, 5) 50.00000 0.000000
TRAN( 3, 1) 0.000000 7.000000
TRAN( 3, 2) 0.000000 2.000000
TRAN( 3, 3) 0.000000 0.000000
TRAN( 3, 4) 0.000000 12.00000
TRAN( 3, 5) 0.000000 8.000000
TRAN( 4, 1) 0.000000 1.000000
TRAN( 4, 2) 0.000000 5.000000
TRAN( 4, 3) 0.000000 7.000000
TRAN( 4, 4) 0.000000 0.000000
TRAN( 4, 5) 0.000000 10.00000
TRAN( 5, 1) 0.000000 8.000000
TRAN( 5, 2) 0.000000 9.000000
TRAN( 5, 3) 0.000000 12.00000
TRAN( 5, 4) 0.000000 11.00000
TRAN( 5, 5) 0.000000 0.000000
COST( 1, 1) 0.000000 0.000000
COST( 1, 2) 6.000000 0.000000
COST( 1, 3) 7.000000 0.000000
COST( 1, 4) 8.000000 0.000000
COST( 1, 5) 9.000000 0.000000
COST( 2, 1) 6.000000 0.000000
COST( 2, 2) 0.000000 0.000000
COST( 2, 3) 5.000000 0.000000
COST( 2, 4) 4.000000 0.000000
COST( 2, 5) 3.000000 0.000000
COST( 3, 1) 7.000000 0.000000
COST( 3, 2) 2.000000 0.000000
COST( 3, 3) 0.000000 0.000000
COST( 3, 4) 5.000000 0.000000
COST( 3, 5) 1.000000 0.000000
COST( 4, 1) 1.000000 0.000000
COST( 4, 2) 5.000000 0.000000
COST( 4, 3) 1.000000 0.000000
COST( 4, 4) 0.000000 0.000000
COST( 4, 5) 4.000000 0.000000
COST( 5, 1) 8.000000 0.000000
COST( 5, 2) 9.000000 0.000000
COST( 5, 3) 7.000000 0.000000
COST( 5, 4) 6.000000 0.000000
COST( 5, 5) 0.000000 0.000000
Row Slack or Surplus Dual Price
1 1550.000 -1.000000
2 0.000000 0.000000
3 0.000000 0.000000
4 0.000000 -7.000000
5 0.000000 -6.000000
6 0.000000 -5.000000
7 150.0000 0.000000
8 0.000000 2.000000
9 0.000000 -7.000000
10 0.000000 -6.000000
11 0.000000 -5.000000
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