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Hi Yingjie
> Big-M: M = 15 - 1 given 15 tasks.
>
> position[b] - position[a] <= M * before[a,b]
> position[a] - position[b] <= M * before[b,a]
> before[a,b]+before[b,a] == 1
Thanks very much - this is exactly what I was looking for!
> can reduce the before[,] variables somehow,
> create varia
I am modelling a project in which doing some tasks before others will save
time. I think that the model is correct - but even though I have only entered
the savings for 1 task into the objective function, it is taking too long to
run. I believe that the problem lies in my "before1" and "before2
Hi Yaron,
A link to a search is not an ideal response - but since nobody else has given
you any reply at all, I thought it would be better than nothing:
http://lists.gnu.org/archive/cgi-bin/namazu.cgi?query=SOS2&submit=Search&idxname=help-glpk
__
> I've grown used to GMPL,
I haven't used it myself, but the
modelling language Zimpl, which can be used with SCIP, appears to have
similarities with MathProg.
http://zimpl.zib.de/
_
Apologies for replying to myself twice, but a bit of experimenting has shown me
a partial explanation for the mystery I raised in the quoted text below. As
well as the fact that the MIP software used by the authors of the paper linked
below might have been specifically written for transport pro
Using some "tactical knowledge" of the puzzle, I managed to get it to resolve
to the optimum for the given 20 people (244 minutes) by adding the following
constraints:
# slowest people cross together
s.t. slowest1{a in 1..crossings}: 2 * go[a, 20] - go[a, 19] - go[a, 18] = 0;
s.t. slowest2{a in
The Bridge And Torch problem is described in full, with an example, at
http://en.wikipedia.org/wiki/Bridge_and_torch_problem . The problem shown
there, with 4 people who take 1, 2, 5 and 8 minutes, and who may cross two at a
time, is solved almost instantaneously by the model below:
# br
Hi Michael and Xypron,
Thank you both for your helpful responses! Between you, you have enabled me to
crack the problem.
Here's the model that now works:
# make fixture list to minimise cases of teams having no opponents in common
# adjust teams and rounds below
set teams:= 1..14;
set rounds:=
Hi GLPK help list,
I ran a model (appended below) with a time limit of a little over 8 hours - but
it didn't stop at 8 hours. I used the following parameters:
--cover --clique --gomory --mir --fpump --tmlim 3 -m "tournament.mod"
After around 5 hours, the output was as follows:
Time used:
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