Neuroevolution algorithms search optimal solutions by evolution rather than learning, which enables them to deal with large complex problems.

In this project, we are going to implement neuroevolution algorithms in a unified framework. Specifically, the algorithms we want to implement includes CNE, NEAT, HyperNEAT, etc.

Our goals include:

  1. Implementing neuroevolution algorithms for mlpack, include CNE, NEAT and HyperNEAT.
  2. Testing implemented algorithms by problems such as XOR problem, double pole balancing problem and so on.
  3. Writing corresponding document for implemented neuroevolution module.

Student

Bang

Mentors

  • Marcus Edel
close

2016