What are the limitations of simulated annealing?
Simulated annealing has several limitations, including its sensitivity to initial conditions, the need for careful parameter tuning, and the potential to get stuck in local minima.
Can you explain why it's sensitive to initial conditions?
Yes, the initial temperature and the starting solution can significantly affect the algorithm's performance, leading to different outcomes.
What are some common applications where simulated annealing is used?
It's commonly used in optimization problems like traveling salesman, job scheduling, and circuit design.
Are there any alternatives to simulated annealing?
Yes, alternatives include genetic algorithms, particle swarm optimization, and gradient descent methods.
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