Simranjit Kaur
Gurobi Staff- Total activity 329
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Recent activity by Simranjit Kaur-
You might want to try Gurobi's no-relaxation heuristic and see if that helps to find feasible solutions quickly. Please set the NoRelHeurTime parameter to activate this heuristic Additionally, plea...
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Hi Joonmo, The Heuristics parameter in Gurobi controls how aggressively the solver applies heuristic methods to find feasible solutions during the optimization process. This parameter has a value r...
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Hi Santanu, You can use Gurobi's Callback feature to retrieve solutions as they are found during optimization. Specifically, you can use the MIPSOL callback, which is triggered whenever a new incum...
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Hi Daniele, It would be best if we could investigate this on our end. Can you please share a minimal reproducible example with us? You can share the file with us through Filemail, Dropbox, Box, Goo...
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Hi Jack, We have created a support request in our Help Center to assist with your installation issues. We will contact you via the support ticket. Thank you. Cheers,Simran
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Hi Jack, I've just responded through the support ticket. You should receive an email at your email id ma***91@gmail.com. Thanks,Simran
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The constraints self.model.addConstr(self.Q_prime[t, d, m, k] >= 1 - big_M * (1 - self.BETA[t, d, m, k]))self.model.addConstr(self.Y[d, n, k] <= t + big_M * (1 - self.gama[t, d, n, k])) will be "...
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You can define x as a semi-continuous variable. A semi-continuous variable has the property that it takes a value of 0 or a value between the specified lower and upper bounds. With the Python API, ...
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Hi Kanato, It seems you are missing the m.optimize() command after the mip start file is read (m.read(file_name). For details on how to provide a mip start to a model, please see the article: How d...
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Hi Iason, Your screenshot shows the part of the log where the root LP relaxation of your model is solved. The MIP gap calculations will become visible once the solver reaches the Branch and Cut pha...