Dear NLOPT,
I'd observed that upon failure (error raised) in the objective function the
optimizer would somehow register this (presumably the same as returning -inf to
a max. objective) and continue to optimize.
In my case, the objective function is a parent process which controls several
child processes, an errors could be raised in one of the child processes and
this would be handled by the parent process and a value is still being returned
(despite the child process error). However, NLOPT somehow detect errors raised
in child processes and ceased calculations with the given parameters and start
a new optimization potential.
My question would be, is it possible to turn off the optimizer behavior of
error detecting. I can easily implement a "try" and "exception" clause for -inf
return upon selected errors.
for info I'm using python2.7 interface to nlopt with the objective function
written in python
Thanks,
Ben
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