Tanmoy Das

Hi, Not the best way, but maybe you can extract each scenario using m.SingleScenarioModel(), and then optimize all of them to retrieve all solutions for each scenario. I am trying the below as well:

Appreciate it. I will aim for that.

I want to draw the linechart of iteration vs runtime & iteration vs % gap kinda similar to the below figure

thank you. I applied your suggestion to the model.

I also want to get the objective values (two objectives in my moo problem) in each iteration. Callback function gives me some ideas. I know my model went through 19 simplex iterations. I need the v...

Well, actually Distance[s, o] is more of a Pairing of index between s & o. Just like Pairing(i,j) example in the following example https://gurobi.github.io/modeling-examples/customer_assignment/cus...

I got the answer: write the below code between the line of model.write() & model.optimize() model2.Params.LogFile = "Outputs/model2.log"

How can I write the LogFile? Most documentations talks about how to read the file.  I installed grblogtool

The solution to my previous comment is below (for future reference):  print('Print Xn')k = 34model2.setParam(GRB.Param.SolutionNumber, k)[x[s, r].Xn for s in Stations for r in ResourcesD][y[s, o, ...

Hello Jaromil,  By allowing larger gap (GRB.Param.PoolGap), I retrieved 36 solution counts based on documentation link you provided: Solution count 36: 1.6 1.4 1.3 ... 0.2 Now I want to print each ...