Changing IPOPT options with pyomo doesn't work

Question

I am using IPOPT solver for solving KKTs conditions (a bunch of equality constraints and complementarity conditions). For assigning the solver for the complementarity problem, I use the command line below:

solver = po.SolverFactory('mpec_nlp')

And then according to IPOPT documentation I am changing the number of maximum iteration

solver.options['max_iter']=1000

But solver doesn't listen to me and still stops at its default maximum of 3000 iterations

Do you have any suggestions on how to make it work?

I guess that max_iter will be send to the MPEC_NLP metasolver, which may just disregard the option. I don't know if there is a way to pass options to the solver that is called by MPEC_NLP. — stefan, Jan 18 '22 at 04:54

furious_bilbo · Answer 1 · 2021-12-16T10:00:40.577

0

Consider creating ipopt.opt file using notepad. Write max_iter 500 into the file. Place the file into your working directory (where your code is running)

edited Dec 16 '21 at 10:00

answered Dec 03 '21 at 11:44

furious_bilbo

176
11

It didn't work out ;( – errenmike1806 Dec 06 '21 at 19:20
@errenmike1806 where have you tried to place ipopt.opt? – furious_bilbo Dec 07 '21 at 06:37
@furiois_bilbo at the same directory where my .py file is. – errenmike1806 Dec 07 '21 at 09:57
@errenmike1806 and where is your solver executable (ipopt.exe)? – furious_bilbo Dec 08 '21 at 08:36
@ furious_bilbo It is in the Anaconda3/Library/Bin. Now I moved ipopt.opt to Anaconda3/Library/Bin and it didn't work also :( – errenmike1806 Dec 10 '21 at 15:06
@errenmike1806 could you please send me an email with your `ipopt.opt` file? My email is alisher592@ya.ru – furious_bilbo Dec 13 '21 at 10:55

Changing IPOPT options with pyomo doesn't work

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