What are some real-world applications of simulated annealing?
Simulated annealing is used in various fields like optimization, scheduling, and machine learning. For example, it's applied in route optimization for logistics.
Can you give me a specific example in logistics?
Sure! In logistics, companies use simulated annealing to optimize delivery routes, reducing fuel costs and improving delivery times.
What about its use in machine learning?
In machine learning, simulated annealing can help in feature selection and hyperparameter tuning, improving model performance.
Are there any limitations to using simulated annealing?
Yes, some limitations include its sensitivity to initial conditions and the potential for getting stuck in local minima.
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