What role do evolutionary algorithms play in the future of AI?

What role do evolutionary algorithms play in the future of AI?

Evolutionary algorithms are crucial for optimizing AI models, enabling them to adapt and improve over time.

Can you give an example of how they are used in real-world applications?

Sure! They're used in areas like robotics for pathfinding, in finance for optimizing trading strategies, and in healthcare for drug discovery.

What are the limitations of evolutionary algorithms?

Some limitations include high computational costs, the need for careful parameter tuning, and potential convergence to local optima.

How do they compare to traditional machine learning methods?

Unlike traditional methods, which often rely on gradient descent, evolutionary algorithms explore a broader solution space, making them suitable for complex problems.