[mlpack] Neuroevolution Algorithms Implementation - Week 1

[bang liu]

Dear all,

I am working on the project "Neuroevolution Algorithms Implementation".

This week, I am working on the implementation of Conventional
Neuro-evolution (CNE): weight evolution on topologically fixed neural
networks. As the first step, I am implementing classes corresponding to the
concepts in NE algorithms, including: gene, genome, population and CNE.
Currently, the implementation of gene is finished and tested, and the other
classes' implementation are in progress.

The main reference papers for the implementation of CNE includes:
[1] "Training Feedforward Neural Networks Using Genetic Algorithms
<http://www.ijcai.org/Proceedings/89-1/Papers/122.pdf>"
[2] "Evolving Artificial Neural Networks
<http://www.cs.bham.ac.uk/~axk/evoNN.pdf>"

I will continue implementing the CNE algorithm in this week and hopefully
submit my first PR to mlpack. After finished the implementation of a
specific algorithm, I will summarize the implementation by mlpack blog.

Best,
Bang
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