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Hill climbing is an iterative optimization method that repeatedly moves to a better neighboring solution until no improvement is possible, reaching a local optimum.
Simulated annealing is a probabilistic search that sometimes accepts worse moves to escape local optima, mimicking how metals cool and crystallize.