ahmad alanaqreh
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Recent activity by ahmad alanaqreh-
Thank you so much Maliheh, now it is working in a proper way
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Sorry Jaromil, your suggestion is not clear for me, terminating the MP model will terminate the callback which is not what I want, do you mean terminating the DSP model where I am trying to change ...
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In my case x[i, j] and z are parameters(alpha, beta, omega, and lamda are variables), actually, these are the values changing every time, so I am changing my objective function based on the new val...
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Hi Jaromil Thanks a lot for your answer, yes that is true, in this case how I can replace the objective function?? should I create a new model with a new objective function or there is a way to do ...
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Hi Jarmoil I have the following objective function: model.setObjective(quicksum(x[i, j] * alpha[i] for (i, j) in E if i != s) + quicksum((n * (1 - x[i, j]) - 1) * beta[i, j] for (...
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Hi Jaromil, this is just the smallest example I have, the time here is acceptable but when the graph has hundreds or thousands of nodes and edges it really takes a lot of time, there is any part th...
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Hi Jaromil your suggestion kind of works, the problem that by using the x.VarName it takes x,1,11 to be before x,1,2 in the sorted list !!
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Hi Jaromil I am so sorry if the issue was not clear, let me give more details : I have a model where the variable x is defined as follow : x = {}for (i, j) in E: x[i, j] = model.addVar(vtype=GRB....
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Hi Matthias I simply do the following : x = {}for (i, j) in E: x[i, j] = model.addVar(vtype=GRB.BINARY, name="x%d,%d," % (i, j)) or x = model.addVars(E, vtype=GRB.BINARY, name='x')
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Hi Jaromil That is totally true, moreover, I found that FarkasDual is giving good values but the difference was the sign, I mean if the constraint.FarkasDual is positive constraint.dunbdd is nega...