Are Genetic Algorithms Still Relevant in 2025?

Hey everyone, I was first introduced to Genetic Algorithms (GAs) during an Introduction to AI course at university, and I recently started reading "Genetic Algorithms in Search, Optimization, and Machine Learning" by David E. Goldberg.

While I see that GAs have been historically used in optimization problems, AI, and even bioinformatics, I’m wondering about their practical relevance today. With advancements in deep learning, reinforcement learning, and modern optimization techniques, are they still widely used in research and industry?I’d love to hear from experts and practitioners:

1. In which domains are Genetic Algorithms still useful today?
2. Have they been replaced by more efficient approaches? If so, what are the main alternatives?
3. Beyond Goldberg’s book, what are the best modern resources (books, papers, courses) to deeply understand and implement them in real-world applications?

I’m currently working on a hands-on GA project with a friend, and we want to focus on something meaningful rather than just a toy example.