Flappy Learning (Demo)

NeuroEvolution.js : Utilization

// Initialize
var ne = new Neuroevolution({options});
//Default options values
var options = {
 network:[1, [1], 1], // Perceptron structure
 population:50, // Population by generation
 elitism:0.2, // Best networks kepts unchanged for the next generation (rate)
 randomBehaviour:0.2, // New random networks for the next generation (rate)
 mutationRate:0.1, // Mutation rate on the weights of synapses
 mutationRange:0.5, // Interval of the mutation changes on the synapse weight
 historic:0, // Latest generations saved
 lowHistoric:false, // Only save score (not the network)
 scoreSort:-1, // Sort order (-1 = desc, 1 = asc)
 nbChild:1 // number of child by breeding
}
//Update options at any time
ne.set({options});
// Generate first or next generation
var generation = ne.nextGeneration();
//When an network is over -> save this score
ne.networkScore(generation[x], <score = 0>);