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Is a neural network not just an evolutionary algorithm with increased amount of parameters to represent, and optimize a problem in the world?

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    $\begingroup$ Hi. Maybe you should provide more details because, if you're familiar with both neural networks and evolutionary algorithms, I don't understand why you think that neural networks "are just evolutionary algorithms". If you're not familiar with neural networks or EAs, then I don't understand where this question comes from and maybe you should explain it. $\endgroup$
    – nbro
    Apr 1 at 10:56
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A neural network is a model that just connects input features to output predictions, that's it $$y = f(x)$$

Evolutionary algorithm, roughly speaking, is a way to train arbitrarily defined models. The classical way of training the NN is backpropagation of error, but you're right that you could teach them with the evolutionary algorithm as well, there is a whole direction called neuroevolution

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