Is there any way to enhance the step of iteration of optimization with fmincon?

Hello. I am trying to do optimization by fmincon. My objection is to minimize the loss. However, when the optimization running, in every iteration the function decrement is so small. Therefore its taking too much time for optimization. Is there any way to enhance the step means decreases with big step? Thanks in advance.

[Walter Roberson]

Are analytic gradient and hessian available? If so then passing functions for those in can improve the performance.

[Arifur Rahman]

No. The only I have objective value which I have to minimize and there are some lower and upper bounds.

Answer 1

[Walter Roberson]

According to https://www.mathworks.com/matlabcentral/answers/6694-controlling-stepsize-of-fmincon#answer_266363 you can adjust the FiniteDifferenceStepSize to make it larger, to effectively put a lower bound on the adaptive step size that fmincon uses.

I suspect you will find that it does not make much difference towards obtaining a global minima: what it might do is get it to give up earlier when it encounters a local minima.

If you have the Global Optimization toolbox, you should probably look at MultiStart