Added RandomNetworkAmount-Property and Implemented it.

RandomNetworkAmount is for creating Random networks to keep a better variation in the networks

Author: BotMaster3000

NeuralBotMasterFramework/NeuralBotMasterFramework/Interfaces/IGeneticAlgorithm.cs

@@ -10,6 +10,7 @@ public interface IGeneticAlgorithm
     {
         int TotalNetworks { get; }
         int NetworksToKeep { get; }
+        int RandomNetworkAmount { get; }
         double MutationRate { get; }
         double MutationChance { get; }
 

NeuralBotMasterFramework/NeuralBotMasterFramework/Logic/Algorithms/GeneticAlgorithm.cs

@@ -14,6 +14,7 @@ public class GeneticAlgorithm : IGeneticAlgorithm
     {
         public int TotalNetworks { get; }
         public int NetworksToKeep { get; set; }
+        public int RandomNetworkAmount { get; set; }
         public double MutationRate { get; set; }
         public double MutationChance { get; set; }
         public Dictionary<IWeightedNetwork, double> NetworksAndFitness { get; private set; } = new Dictionary<IWeightedNetwork, double>();
@@ -33,17 +34,22 @@ public GeneticAlgorithm(int totalNetworks, int inputNodes, int hiddenNodes, int
             HiddenLayers = hiddenLayers;
             OutputNodes = outputNodes;
 
-            InitializeNetworks();
+            AddNewNetworks(TotalNetworks);
         }
 
-        private void InitializeNetworks()
+        private void AddNewNetworks(int amount)
         {
-            for (int i = 0; i < TotalNetworks; ++i)
+            for (int i = 0; i < amount; ++i)
             {
-                NetworksAndFitness.Add(new WeightedNetwork(InputNodes, HiddenLayers, HiddenLayers, OutputNodes), 0);
+                AddNewNetwork();
             }
         }
 
+        private void AddNewNetwork()
+        {
+            NetworksAndFitness.Add(new WeightedNetwork(InputNodes, HiddenLayers, HiddenLayers, OutputNodes), 0);
+        }
+
         public void SetupTest(double[][] input, double[][] expected = null)
         {
             CurrentInput = (double[][])input.Clone();
@@ -118,6 +124,7 @@ private void RemoveUnneccessaryNetworks()
 
         private void BreedNewNetworks()
         {
+            AddNewNetworks(RandomNetworkAmount);
             List<IWeightedNetwork> networkAndLikelinesToBreed = GetBreedingPool();
             BreedNetworks(networkAndLikelinesToBreed);
         }