What are the applications of simulated annealing?
Simulated annealing is used in optimization problems, like scheduling, routing, and machine learning.
Can you give me an example of how it's used in scheduling?
Sure! In job scheduling, simulated annealing helps find the optimal order of tasks to minimize completion time.
What about its use in machine learning?
In machine learning, it's often used for hyperparameter tuning to improve model performance.
Are there any limitations to using simulated annealing?
Yes, it can be slow for large problems and may get stuck in local minima without proper parameter tuning.
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