Simulated Annealing vs Dual Annealing

If you want to use a Simulated Annealing algorithm I recomend you to use scipy.optimize.dual_annealing instead, but with ′visit′=qv=1,′acept′=qa=1 (this recover Classical Simulated Annealing, i.e. the temperature decreases logarithmically). Other parameter election leads to more sophisticated Annealing processes, like ′visit′=qv=2,′acept′=qa=1 (which recover the Fast Simulated Annealing, i.e. the temperature decrease up to inverse).