Simulated annealing

Simulated annealing aims to find the global minimum/maximum value by occasionally accepting solutions that are worse than the previous one. This approach helps to avoid getting stuck in a local minimum/maximum solution.

A temperature parameter is set, which determines the probability of accepting a worse solution. This probability decreases over time: as the iterations progress, it becomes less likely to accept inferior solutions.