private void StartFromScratch()
        {
            Genometype.NodeGenes[] nodes = new Genometype.NodeGenes[] {
                new Genometype.NodeGenes(Genometype.NodeGenes.Types.Input, _IOIndex: 0),
                new Genometype.NodeGenes(Genometype.NodeGenes.Types.Input, _IOIndex: 1),
                new Genometype.NodeGenes(Genometype.NodeGenes.Types.Output, _IOIndex: 0),
                new Genometype.NodeGenes(Genometype.NodeGenes.Types.Output, _IOIndex: 1),
                new Genometype.NodeGenes(Genometype.NodeGenes.Types.Output, _IOIndex: 2),
            };

            Genometype.ConnectionGenens[] connections = new Genometype.ConnectionGenens[] {
                new Genometype.ConnectionGenens(0, 2, Random.Range(-10f, 10f), _operatorType: Genometype.ConnectionGenens.OperatorType.Multiply),
                new Genometype.ConnectionGenens(0, 3, Random.Range(-10f, 10f), _operatorType: Genometype.ConnectionGenens.OperatorType.Multiply),
                new Genometype.ConnectionGenens(1, 4, Random.Range(-10f, 10f), _operatorType: Genometype.ConnectionGenens.OperatorType.Plus),
            };

            m_weightOptimizer.InsertGenome(new Genometype(nodes, connections));
        }
        protected void StartFromScratch()
        {
            Genometype.NodeGenes[] nodes = new Genometype.NodeGenes[] {
                new Genometype.NodeGenes(Genometype.NodeGenes.Types.Input, _IOIndex: 1),
                new Genometype.NodeGenes(Genometype.NodeGenes.Types.Input, _IOIndex: 5),
                new Genometype.NodeGenes(Genometype.NodeGenes.Types.Input, _IOIndex: 7),
                new Genometype.NodeGenes(Genometype.NodeGenes.Types.Hidden),
                new Genometype.NodeGenes(Genometype.NodeGenes.Types.Output),
            };

            Genometype.ConnectionGenens[] connections = new Genometype.ConnectionGenens[] {
                new Genometype.ConnectionGenens(0, 3, Random.Range(-10f, 10f)),
                new Genometype.ConnectionGenens(1, 3, Random.Range(-10f, 10f)),
                new Genometype.ConnectionGenens(2, 3, Random.Range(-10f, 10f)),
                new Genometype.ConnectionGenens(3, 4, Random.Range(-10f, 10f), Genometype.ConnectionGenens.OperatorType.Plus),
            };

            m_weightOptimizer.InsertGenome(new Genometype(nodes, connections));
        }
    public void GenomeNodeMutation()
    {
        Genometype.NodeGenes[] nodes = new Genometype.NodeGenes[] {
            new Genometype.NodeGenes(Genometype.NodeGenes.Types.Input, _IOIndex: 0),
            new Genometype.NodeGenes(Genometype.NodeGenes.Types.Input, _IOIndex: 0),
            new Genometype.NodeGenes(Genometype.NodeGenes.Types.Output),
        };

        Genometype.ConnectionGenens[] connections = new Genometype.ConnectionGenens[] {
            new Genometype.ConnectionGenens(0, 2, 0.123f),
            new Genometype.ConnectionGenens(1, 2, 3f),
        };

        GenomeMutationController controller = new GenomeMutationController(new Genometype(nodes, connections));

        controller.MutateByInsertNodeBetweenConnection();

        for (int i = 0; i < controller.mutations.Count; i++)
        {
            Debug.Log(controller.mutations[i]);
        }
    }
    public void DataProcess()
    {
        Genometype.NodeGenes[] nodes = new Genometype.NodeGenes[] {
            new Genometype.NodeGenes(Genometype.NodeGenes.Types.Input, _IOIndex: 0),
            new Genometype.NodeGenes(Genometype.NodeGenes.Types.Hidden),
            new Genometype.NodeGenes(Genometype.NodeGenes.Types.Output),
        };

        Genometype.ConnectionGenens[] connections = new Genometype.ConnectionGenens[] {
            new Genometype.ConnectionGenens(0, 1, 0.1f),
            new Genometype.ConnectionGenens(1, 2, 1f, Genometype.ConnectionGenens.OperatorType.Plus),
        };

        GenomeController controller = new GenomeController(new Genometype(nodes, connections));

        // Test get output
        controller.Reset();
        Assert.AreEqual(controller.GetOutput(0), 0);

        // Test insert input and process data
        controller.Input(new float[] { 0.9f });
        controller.StartProcess();
        Assert.AreEqual(controller.GetOutput(0), 1.09f);
    }