Inspired by metallurgy’s heating and cooling process, simulated annealing strategies gradually reduce randomness in a search to find near-optimal solutions for complex problems. Engineers and data scientists use it to escape local optima in fields like logistics, circuit design, and machine learning. Key beneficiaries include operations researchers, software developers, and AI practitioners tackling NP-hard challenges.
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