AForge.Neuro.Learning.EvolutionaryLearning.EvolutionaryLearning C# (CSharp) Method

        public EvolutionaryLearning( ActivationNetwork activationNetwork, int populationSize )
        {
            // Check of assumptions during debugging only
            Debug.Assert( activationNetwork != null );
            Debug.Assert( populationSize > 0 );

            // networks's parameters
            this.network = activationNetwork;
            this.numberOfNetworksWeights = CalculateNetworkSize( activationNetwork );

            // population parameters
            this.populationSize = populationSize;
            this.chromosomeGenerator = new UniformGenerator( new Range( -1, 1 ) );
            this.mutationMultiplierGenerator = new ExponentialGenerator( 1 );
            this.mutationAdditionGenerator = new UniformGenerator( new Range( -0.5f, 0.5f ) );
            this.selectionMethod = new EliteSelection( );
            this.crossOverRate = 0.75;
            this.mutationRate = 0.25;
            this.randomSelectionRate = 0.2;
        }