What is the history of simulated annealing?
Simulated annealing is inspired by the annealing process in metallurgy. It was first introduced in the 1980s by S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi.
How does it relate to optimization problems?
Simulated annealing is used to find approximate solutions to optimization problems by mimicking the cooling process of metals.
Who were the key contributors to its development?
Key contributors include Kirkpatrick, Gelatt, and Vecchi, who published their seminal paper in 1983.
What are some applications of simulated annealing?
Applications include scheduling, routing, and various combinatorial optimization problems.
Can you explain the algorithm in simple terms?
Sure! It starts with a random solution and iteratively makes small changes, accepting worse solutions with a probability that decreases over time.
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