What is simulated annealing?
Simulated annealing is a computational optimization technique inspired by the process of annealing in metallurgy. It is used to find the global minimum of a function by iteratively modifying a solution candidate and accepting or rejecting these modifications based on a probability distribution. By gradually decreasing the probability of accepting worse solutions and exploring the search space, simulated annealing is capable of escaping local optima and finding near-optimal solutions in complex, high-dimensional search spaces.
This mind map was published on 12 March 2024 and has been viewed 113 times.
