What is Simulated Annealing?

Simulated annealing is an optimization method for finding the global optimum of a function. The algorithm is similar to a hill_climbing algorithm.

Comparison with Hill Climbing

Simulated annealing, just like hill climbing, has one current solution. In each iteration, that solution takes a random step and either improves, stays the same, or becomes worse.

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