Inspired by metallurgy’s heating-and-cooling process, simulated annealing is a probabilistic optimization algorithm that searches for global solutions by escaping local minima. It’s widely used in AI, logistics, and circuit design for complex problem-solving. Engineers, data scientists, and operations researchers benefit from its ability to fine-tune schedules, routes, and configurations efficiently.
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