I recommend you to use deep learning which is a state-of-the-art nowadays. Kindly have a look at following details regarding deep learning and EMO:

Hinton nature article:

https://www.nature.com/articles/nature14539

http://www.deepideas.net/deep-learning-from-scratch-theory-and-implementation/

https://www.kaggle.com/dansbecker/deep-learning-from-scratch

https://towardsdatascience.com/machine-learning-from-scratch-part-1-76603dececa6

Survey article on latest trend of EMO:

https://pdfs.semanticscholar.org/f9d8/7d1fff5fc683f2c8b707ac0ec703dbfe5917.pdf

Thanks

I recommend you to use deep learning which is a state-of-the-art nowadays. Kindly have a look at following details regarding deep learning and EMO:

Hinton nature article:

https://www.nature.com/articles/nature14539

http://www.deepideas.net/deep-learning-from-scratch-theory-and-implementation/

https://www.kaggle.com/dansbecker/deep-learning-from-scratch

https://towardsdatascience.com/machine-learning-from-scratch-part-1-76603dececa6

Survey article on latest trend of EMO:

https://pdfs.semanticscholar.org/f9d8/7d1fff5fc683f2c8b707ac0ec703dbfe5917.pdf

Thanks

I would look at genetic programming and generative hyper-heuristics. If you search for Edmund Burke you will see some good up-to-dates reviews.

Patricia

Dear All,

Thanks a lot :)

An important paper on the subject is given below:

Article A critical review of multi-objective optimization in data mi...

Many thanks

In my point of view, both paradigms are cooperative, and not counterparts.