What is simulated annealing?

Simulated annealing is a computational optimization technique inspired by the process of annealing in metallurgy. It is used to find the global minimum of a function by iteratively modifying a solution candidate and accepting or rejecting these modifications based on a probability distribution. By gradually decreasing the probability of accepting worse solutions and exploring the search space, simulated annealing is capable of escaping local optima and finding near-optimal solutions in complex, high-dimensional search spaces.

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