convergence problem using fmincon

Hello All,
I have an NLP optimization problem which i am trying to solve using
fmincon. Actually i want to train the neural network for solving the
optimization problem, so i need to generate the large number of
patterns for it. When i use fmincon on a bigger power system model,
it converges for the base case but on changing the loading randomly
it either gives maximum number of function evaluations exceeded
(which i kept to be 500)or no feasible solution found. So can anybody
suggest me what parameters shall i change so that it converges for
most of the cases?

Any help is appreciated.
Thanks,
T.Jain
.

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