I think that a good replacement for GP is the decision tree algorithms like C4.5 https://ieeexplore.ieee.org/abstract/document/991727

DEAR Cosijopii Garcia-Garcia ,thanks for the above refrences

Choice of the best replacement for GA depends on the function (fitness function) you want to optimize. There are thousands of optimization methods. For example, if the function is differentiable, you can use gradient descent, or, if you're lucky, you can calculate the zeros of the derivative and only investigate these ones.

https://en.wikipedia.org/wiki/Mathematical_optimization

Regards,

Joachim

DEAR Joachim Pimiskern, thanks for your guidness.

Article GP algorithm versus hybrid and mixed neural networks