Adaptive optimization

Okay kiddo, so imagine you're trying to run a race. Now, if the race is easy, you can just go full speed ahead and finish quickly. But if the race is really hard, like running up a steep hill, you might get tired really quickly and need to slow down a bit to save energy.

This is kind of like what adaptive optimization does. When you're trying to solve a problem, sometimes it's easy and sometimes it's really hard. And just like running a race, you might need to change your approach depending on how hard the problem is.

Adaptive optimization is a way of solving problems by changing the way you approach them based on how well your first attempts are working. Basically, you keep trying different methods until you find one that works really well.

It's kind of like when you're trying to build a tower out of blocks. At first, you might just put them on top of each other one by one, but if the tower keeps falling down, you might try a different approach, like stacking them in a different order, or using bigger blocks on the bottom. You keep trying different things until you build a tower that doesn't fall down.

So that's what adaptive optimization does - it tries different methods until it finds the best one for the problem at hand. And just like building a tower, it takes a bit of trial and error, but eventually you'll find the best way to solve the problem.