Local Search in Artificial Intelligence is an optimizing algorithm to find the optimal solution more quickly. Local search algorithms are used when we care only about a solution but not the path to a solution. Local search is used in most of the models of AI to search for the optimal solution according to the cost function of that model. Local search is used in linear regression, neural networks, clustering models. Hill climbing, simulated annealing, tabu search are some of the local search algorithms.
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