<div dir="ltr">Dear all,<div><br></div><div>I am working on the project "<span style="font-size:14px">Neuroevolution Algorithms Implementation</span>".</div><div><br></div><div>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.</div><div><br></div><div>The main reference papers for the implementation of CNE includes:</div><div>[1] "<a href="http://www.ijcai.org/Proceedings/89-1/Papers/122.pdf">Training Feedforward Neural Networks Using Genetic Algorithms</a>"</div><div>[2] "<a href="http://www.cs.bham.ac.uk/~axk/evoNN.pdf">Evolving Artificial Neural Networks</a>"</div><div><br></div><div>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.</div><div><br></div><div>Best,</div><div>Bang</div></div>