What are evolutionary algorithms and how do they work?

What are evolutionary algorithms and how do they work?

Evolutionary algorithms are optimization techniques inspired by natural selection. They use mechanisms like mutation, crossover, and selection to evolve solutions to problems over generations.

Can you give me an example of how they are used in real life?

Sure! One common application is in optimizing complex engineering designs, like aircraft wings, where multiple variables need to be balanced for performance.

What are the main advantages of using evolutionary algorithms?

They are highly adaptable, can handle complex and multi-modal problems, and often find good solutions without needing a gradient.

Are there any limitations to evolutionary algorithms?

Yes, they can be computationally expensive and may converge to suboptimal solutions if not properly tuned.