Simulated annealing is one of many techniques for optimizing in search spaces with a lot of local maxima. Is there a reason why you’re emphasizing that one in particular?
It provides a usefully concept, which can be carried over into other domains. I suppose there are other techniques that use a temperature, but I’m much less familiar with them and they are more complicated. Is understanding other metaheuristics more useful to people who aren’t actually writing a program preforms some optimization than just understanding simulated annealing?
Simulated annealing is one of many techniques for optimizing in search spaces with a lot of local maxima. Is there a reason why you’re emphasizing that one in particular?
It provides a usefully concept, which can be carried over into other domains. I suppose there are other techniques that use a temperature, but I’m much less familiar with them and they are more complicated. Is understanding other metaheuristics more useful to people who aren’t actually writing a program preforms some optimization than just understanding simulated annealing?