Which book is a standard for introduction to genetic algorithms? I have heard of genetic algorithms, but I have never seen practical examples and I've never got a systematic introduction to them.

I am now looking for a textbook which introduces genetic algorithms in detail and gives practical examples how they are used, what their strengths are compared to other solution methods and what their weaknesses are.

Is there any standard textbook for this?
Most of the "standard textbooks" (e.g., Goldberg, Mitchell, etc.) are pretty dated now. If you just want to have some confidence that you understand how the basic algorithms work, they're fine, but they tend to emphasize material that's doesn't necessarily match the more modern way of understanding and talking about things like theoretical issues.

I've used the Eiben and Smith (https://www.amazon.com/Introduction-Evolutionary-Computing-Natural/dp/3642072852) book to teach evolutionary algorithms to my students over the past few years. It's a bit more concise than some of the others, but if you're OK with that, I think it does a better job of covering the stuff that's relevant about evolutionary computation today.