Thanks for the sweet message Gene and glad we were helpful!   Cheers, Natalia ... View more

Got it. Then you need:   create data opt_solution from [camera orientation]={CAMERAS ORIENTATIONS} CHI;  And if you wanted only the binary vars that are 1, then you can do:   create data opt_solution from [camera orientation]={c in CAMERAS, o in ORIENTATIONS: CHI[c,o]>0.5} CHI;   Cheers, Natalia   ... View more

Actually, one more thing. If you only want to create a dataset with OptCoverage, which is not indexed on any set, you should do: create data solution from OptCoverage; ... View more

Hi Gene, remove the “:” ... View more

On this issue: 116 var XIT{TARGETS} integer; 117 118 119 XIT[target]=sum{camera in CAMERAS, orientation in ORIENTATIONS} ______ 525 120 matrix[camera, orientation, target] * Chi[camera,orientation];   You can re-write 119 and 120 as constraint:   con XIT_CON{target in TARGETS}: XIT[target]=sum{camera in CAMERAS, orientation in ORIENTATIONS} matrix[camera, orientation, target] * Chi[camera,orientation]; ... View more

Hi there.   Your following constrain has "orientation" in both, the constraint definition as well as in the sum. It should be one of those. 109 con CHI_constraint {orientation in ORIENTATIONS}: 110 sum{camera in CAMERAS, orientation in ORIENTATIONS}CHI[camera,orientation] <=1;   The question to you is which of the following you need: A. The sum of CHI over cameras to be  <= 1 for EACH orientation OR B. The sum of CHI over cameras and orientations be <=1   Cheers, Natalia ... View more

Without looking at the data I would guess it is because not all combinations of Ports and DCs exist in PN_3381_data. I would suggest to read into a tuple set instead of individual PORTS and DCs, unless you need those even if they have no entry in PN_3381_data. Do you need a sample syntax for the tuple set? Cheers, Natalia ... View more