Initial commitHEADmaster

1 files changed, 60 insertions, 0 deletions

diff --git a/Simulation/SimFitness_StartSpecs.cpp b/Simulation/SimFitness_StartSpecs.cpp
new file mode 100644
index 0000000..8fe1a41
--- /dev/null
+++ b/Simulation/SimFitness_StartSpecs.cpp
@@ -0,0 +1,60 @@
+#include "SimFitness.hpp"
+
+bool SimFitness::startSpecs()
+{
+    if (!text.startup(this, SELECTION_BY_FITNESS))
+    {
+        return false;
+    }
+
+    std::unique_ptr<NeuralNet> dummy;
+    if (prms.netClass == SINGLE_MLP)
+    {
+        dummy = std::unique_ptr<NeuralNet>(new SingleMLP(82, prms.npHiddenLayer, 5, prms.nodeClass, true));
+    }
+    else if (prms.netClass == DUAL_MLP)
+    {
+        dummy = std::unique_ptr<NeuralNet>(new DualMLP(82, prms.npHiddenLayer, 5, prms.nodeClass, true));
+    }
+    else if (prms.netClass == SIMPLE_RN)
+    {
+        dummy = std::unique_ptr<NeuralNet>(new SimpleRN(82, prms.npHiddenLayer, 5, prms.nodeClass, true));
+    }
+    else if (prms.netClass == FULLY_RN)
+    {
+        dummy = std::unique_ptr<NeuralNet>(new FullyRN(82, prms.npHiddenLayer, 5, prms.nodeClass, true));
+    }
+    unsigned chromosomeSize = dummy->getChromosomeSize();
+    population = std::unique_ptr<Population>(new Population(prms.popQtty * prms.popSize, prms.elites, chromosomeSize));
+
+    // Set first population
+    guppies.resize(prms.popSize);
+    unsigned index = 0;
+    for (auto &i : guppies)
+    {
+        i.startup(this);
+        if (prms.netClass == SINGLE_MLP)
+        {
+            i.neuralNet = std::shared_ptr<NeuralNet>(new SingleMLP(82, prms.npHiddenLayer, 5, prms.nodeClass, true));
+        }
+        else if (prms.netClass == DUAL_MLP)
+        {
+            i.neuralNet = std::shared_ptr<NeuralNet>(new DualMLP(82, prms.npHiddenLayer, 5, prms.nodeClass, true));
+        }
+        else if (prms.netClass == SIMPLE_RN)
+        {
+            i.neuralNet = std::shared_ptr<SimpleRN>(new SimpleRN(82, prms.npHiddenLayer, 5, prms.nodeClass, true));
+        }
+        else if (prms.netClass == FULLY_RN)
+        {
+            i.neuralNet = std::shared_ptr<FullyRN>(new FullyRN(82, prms.npHiddenLayer, 5, prms.nodeClass, true));
+        }
+        i.create();
+        // Set neural net initial random weights
+        i.neuralNet->setChromosome(population->getChromosome(index));
+
+        ++index;
+    }
+
+    return true;
+}