title: how to find global minimum in python optimization with bounds?
body: <p>I have a Python function with 64 variables, and I tried to optimise it using L-BFGS-B method in the minimise function, however this method have quite a strong dependence on the initial guess, and failed to find the global minimum. </p>
  
  <p>But I liked its ability to set bounds for the variables. Is there a way/function to find the global minimum while having boundaries for the variables ?</p>