By analyzing neural weights that you are using to solve such problem, and what are they going to represent . designe your data flow for your research and see where you are going to struggle. Identify your obstacles.
I prepared a complete tutorial about optimizing artificial neural networks using genetic algorithm with Python implementation. It is titled "Artificial Neural Networks Optimization using Genetic Algorithm with Python" It is available here:
You can read more and more in my 2018 book that covers GA in one of its chapters. The book is cited as “Ahmed Fawzy Gad ‘Practical Computer Vision Applications Using Deep Learning with CNNs’. Dec. 2018, Apress, 978–1–4842–4167–7” which is available here at Springer https://www.springer.com/us/book/9781484241660
Also here at Amazon: https://www.amazon.com/Practical-Computer-Vision-Applications-Learning/dp/1484241665/
Ahmed Fawzy Gad can you give me some idea , how do i prepared my own algorithm using anaconda python machine learning to predict common problems and issues and solutions predictions