Hi I’m a cs major that recently started self learning a bit more advanced topics to try and start some undergrad research with help of a professor. My university focuses completely on multi objective optimization with evolutionary computation, so that’s what I’ve been learning about. The thing is, every big news in AI come from machine learning/neural networks models so I’m not sure focusing on the forgotten method is the way to go.
Is evolutionary computation still a thing worth spending my time on? Should I switch focus?
Also I’ve worked a bit with numerical optimization to compare results with ES, math is more of my thing but it’s clearly way harder to work with on an advanced level (real analysis scares me) so idk leave your opinions.
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