OK. Here are some quick thoughts ... 1. You can simplify the data section by defining the sets L and P when defining parameters. No efficiency gain here, just cleaner. 2. When I run as is, there are 456 binary variables, 1045 constraints. The sequence constraints only need to be defined for p < q since the case q > p is redundant. That change alone reduces the problem to 246 binary variables and 625 constraints. 3. I haven't tested this, but defining start times as x[p,l] seems redundant. The same information is coded in x[p] and lp[p,l].
Points 1 & 2 are illustrated in the attached file. Jeff On Sun, Mar 27, 2016 at 10:41 PM Nick Farrell <[email protected]> wrote: > Hi Jeff, thanks for looking. > > My contrived example may be setting only one capability, but usually some > would have multiple capabilities. For example, an IMRT machine may also > have VMAT capabilities. > > My intention is that if a patient requires multiple capabilities, they all > have to be simultaneously satisfied before a linac is a viable candidate. > > Hope that helps. > > Nick > On 28 Mar 2016 1:18 PM, "Jeffrey Kantor" <[email protected]> wrote: > >> Hi Nick, >> >> In looking through the model, one question concerns the linac >> capabilities. These are coded as IMRT, VMAT, and MRI. Each machine has >> one and only one of the of these capabilities. And each patient requires >> one and only capability. Is that true in general, or is that just true for >> this example? >> >> Jeff >> >> On Sun, Mar 27, 2016 at 9:50 PM Nick Farrell <[email protected]> >> wrote: >> >>> It appears the list server is scrubbing my text files: >>> schedule.mod: >>> >>> https://drive.google.com/file/d/0B8FyZKjT_SdKQy1wN3FBRWt6a2c/view?usp=docslist_api >>> >>> Python: >>> https://drive.google.com/file/d/0B8FyZKjT_SdKcmttMzZfdW91emhIcjRaWFFQWTZQMnhzR0dB/view?usp=docslist_api >>> _______________________________________________ >>> Help-glpk mailing list >>> [email protected] >>> https://lists.gnu.org/mailman/listinfo/help-glpk >>> >>
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