Simulated Annealing
SA
A metaheuristic optimization algorithm inspired by the annealing process in metallurgy. It explores solution spaces by iteratively accepting or rejecting candidate solutions based on a cost function and a 'temperature' parameter. Initially, the temperature is high allowing for acceptance of worse solutions to escape local optima; it gradually decreases, favoring better solutions as the search converges towards a global optimum.
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