Stochastic optimization is a method used to solve optimization problems that involve uncertainty, where some of the variables or constraints are not known with certainty. This approach incorporates randomness and aims to find the best solution on average, considering the variability in the input data or conditions. It is particularly relevant in scenarios where processes can be unpredictable, such as manufacturing, supply chain management, and resource allocation.
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