Jose peeterson
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Latest activity by Jose peeterson-
Jose peeterson commented,
Hi Mario, Thanks, I have made those two changes and now the code behaves in the same manner. Best regards, Peeterson.
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Jose peeterson created a post,
Algorithms and solution methods to verify the solution from gurobi
AnsweredI have the following objective function: where is the only positive decision variable. is a function of . is equivalent to given in the equality constraint below. Other variables are positive ...
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Jose peeterson commented,
Hi Mario, Thanks for your reply. I understand the 1st and 2nd bullet points. For your 3rd point, somehow the results of MOO is different when I define the objectives individually using m.setObject...
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Jose peeterson created a post,
Weighted multi-objectives not working as expected
AnsweredHi, I have the following MOO problem for a Electric vehicle charging station. Problem background: Vehicles come to charging slots, v in the charging station with a certain deadline and a demanded ...
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Jose peeterson commented,
Hi Jaromil, I have now resorted to use del_t = 0.25. I have also chosen to use only 2 piecewise objectives. I am also using presolve commented out. Now, I am able to get near real-time performance....
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Jose peeterson commented,
Hi Jaromil, Unfortunately, It does not solve the problem. You can try to comment m.params.Presolve = 0 and change del_t from 1 to 0.1 It still takes very long to solve. I am afraid I cannot use ad...
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Jose peeterson commented,
I have modified the indicator constraints using m.addGenConstrIndicator() Now, it is choosing the regions correctly. However, If the number of decision variables are large the convergence is too sl...
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Jose peeterson commented,
Hey Tobias, Thanks for your reply. Now my code looks like the way you mentioned. I want to makesure that the correct objective is chosen so I have written a small test code. When I run my code ...
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Jose peeterson commented,
Hi Tobias, I have written this code following your instruction above. Could you please check if its right? I am now getting Model is Infeasible error. b1 = m.addVar(vtype=GRB.BINARY, name="b...
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Jose peeterson commented,
Thanks for your reply Matthias. How do I specify disjoint intervals like I> 960*SOC_avg , 480*SOC_avg < I < 960*SOC_avg , 240*SOC_avg < I < 480*SOC_avg , 120*SOC_avg < I < 240*SOC_avg , an...