Simulated annealing can help us find the best solution in a large search space from "summary" of Algorithms to Live By by Brian Christian,Tom Griffiths
Imagine you are facing a complex problem with a vast number of possible solutions. It's like searching for a needle in a haystack. You could exhaustively examine every single option, but that would take a tremendous amount of time and resources. Instead, you can turn to a powerful algorithm called simulated annealing. Simulated annealing is inspired by the process of annealing in metallurgy, where a material is heated and slowly cooled to achieve a more ordered and stable state. In the context of problem-solving, simulated annealing works by starting with a random solution and iteratively refining it by making small, random changes. These changes are evaluated based on a specific criterion, such as how well they fit the desired outcome. The key idea behind simulated anne...
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