# Jose peeterson

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## Activity overview

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.

• Jose peeterson created a post,

### Algorithms and solution methods to verify the solution from gurobi

I 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 ...

• 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...

• Jose peeterson created a post,

### Weighted multi-objectives not working as expected

Hi, 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 ...

• 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....

• 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...

• 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...

• 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 ...

• 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...

• 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...