Global minimum versus local minima solution with Python Gekko
Global minimum versus local minima solution with Python Gekko Question: A simple optimization example has 2 local minima at (0,0,8) with objective 936.0 and (7,0,0) with objective 951.0. What are techniques to use local optimizers in Python Gekko (APOPT,BPOPT,IPOPT) to find a global solution? from gekko import GEKKO m = GEKKO(remote=False) x = m.Array(m.Var,3,lb=0) x1,x2,x3 …