NEAT-GRU

Install Nlohmann/json

sudo apt-get install -y nlohmann-json-dev

Generate doc with Doxygen

doxygen doc.conf

Build

Using a CMake subdirectory

Add to your projects CMakeLists.txt:

add_subdirectory(NEAT-GRU NEAT)
target_link_libraries(trading NEAT_GRU)

Shared library

mkdir Release
cd Release
cmake -DCMAKE_BUILD_TYPE=Release -D__MULTITHREADED__=1 .. .
sudo make install

How to use

• Implement the abstract class Game::Game:

  #include class Simulation: public Game { std::vector dorungeneration() override {...} void doresetplayers(NN * nets, sizet count) override {...}; void doposttraining(Topologyptr topology) override {...}; }

• Create a Train instance and give it a pointer to a Simulation instance:

  auto * sim = new Simulation(); const int iterations = 1000; const int maxindividuals = 300; // Individuals per generation const int inputs = 10; // Input neurons const int outputs = 5; // Output neurons Train train(sim, maxindividuals, inputs, outputs); train.start(); // Runs the training, will output the resulting network to "topologies.json"