Specify minimum step in constrained minimization in SciPy

Question

I am trying to perform optimization where the minimum step size is specified, in scipy.

I know that annealing can do this, but it can only use bound constraint. I am thinking about slsqp or nelder-mead, but cannot figure out how to define minimum step size.

Any help would really be appreciated. Thanks!