Randomized search is a technique used to find optimal solutions or approximate solutions to problems by incorporating randomness into the search process. This method is particularly useful when dealing with complex problems where traditional deterministic approaches may be inefficient or infeasible. By leveraging randomness, the search can explore a broader solution space, increasing the likelihood of finding satisfactory results while balancing computational resources.
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