public void Remove(IOptimizable item)
{
lock (this)
{
_items.Remove(item);
}
}
public void Add(IOptimizable item)
{
lock (this)
{
_items.Add(item);
}
}
public BruteForceTest(IOptimizable Optimizable)
: base(Optimizable)
{
// Coordinate descent normal constructor
fType = EOptimizerType.BruteForce;
Console.WriteLine("BruteForceTest Construct");
}
public GPOptimizer(IOptimizable Optimizable)
: base(Optimizable)
{
// Coordinate descent normal constructor
fType = EOptimizerType.GeneticAlgorithm;
//GPStrategy.SignalInit += OnSignalInit;
//GPStrategy.SignalBar += OnSignalBar;
//GPStrategy.SignalTrade += OnSignalTrade;
//GPStrategy.SignalQuote += OnSignalQuote;
//Console.WriteLine("GPOptimizer Construct");
//meta = Optimizable as ATSMetaStrategy;
//sb = meta.Strategies["ATS"];
//sb.Global.Add("Individual", null);
}
private void PerturbParams()
{
// Get params from winner and use as basis for perturbing
// Only update params if they were better than before, else reuse old
if (m_currentBestCandidate > -1)
{
IOptimizable best = m_optimizables[m_currentBestCandidate];
m_lastBestParams = best.GetParams();
}
// Perturb and assign to candidates
for (int i = 0; i < m_optimizables.Length; i++)
{
IOptimizable opt = m_optimizables[i];
List <float> newObjParams = m_changer.change(m_lastBestParams);
// Debug.Log("new params for "+i+" sample at i=10: _" + newObjParams[10]+"_");
opt.SetParams(newObjParams);
}
}
public Optimizer(IOptimizable optimizable) : base()
{
this.fOptimizable = optimizable;
this.Init();
}
public CoordinateDescent(IOptimizable optimizable) : base(optimizable)
{
this.fType = EOptimizerType.CoordinateDescent;
this.DescentStepSize = 0.01;
}
public SimulatedAnnealing(IOptimizable Optimizable) : base(Optimizable)
{
this.ieAakAK1q();
}
void Init()
{
if (m_sampleCounter == 0)
{
m_testCount++;
Debug.Log("Starting new iteration (no." + m_testCount + ")");
}
m_sampleCounter++;
Debug.Log("Sample " + m_sampleCounter);
GameObject[] controllerObjects = GameObject.FindGameObjectsWithTag("optimizable");
GameObject bestScoreVisualizerObject = GameObject.FindGameObjectWithTag("bestscore");
m_optimizableControllers = new Controller[controllerObjects.Length];
for (int i = 0; i < controllerObjects.Length; i++)
{
m_optimizableControllers[i] = controllerObjects[i].GetComponent <Controller>();
//Debug.Log("cobjsC" + m_optimizableControllers[i]);
}
m_bestScoreController = bestScoreVisualizerObject.GetComponent <Controller>();
if (!m_inited)
{
m_changer = new ParamChanger();
m_currentParams = new List <List <float> >();
m_totalScores = new double[m_optimizableControllers.Length];
// get bounds for perturbation
m_paramsMax = m_optimizableControllers[0].GetParamsMax();
m_paramsMin = m_optimizableControllers[0].GetParamsMin();
//
StoreParams();
m_lastBestParams = new List <float>(m_currentParams[0]);
PerturbParams(2);
for (int i = 2; i < m_optimizableControllers.Length; i++)
{
IOptimizable opt = m_optimizableControllers[i];
List <float> paramslist = new List <float>();
paramslist.AddRange(m_currentParams[i]);
//Debug.Log("opt "+opt);
// Debug.Log("params " + m_currentParams[i]);
opt.ConsumeParams(paramslist); // consume it to controller
}
ResetScores();
m_inited = true;
}
else
{
for (int i = 0; i < m_optimizableControllers.Length; i++)
{
IOptimizable opt = m_optimizableControllers[i];
//if (opt != null && i<m_currentParams.Count)
{
List <float> paramslist = new List <float>();
paramslist.AddRange(m_currentParams[i]);
//Debug.Log("current params "+m_currentParams[i]);
opt.ConsumeParams(paramslist); // consume it to controller
}
}
if (m_bestScoreController && m_lastBestParams != null && m_lastBestParams.Count > 0)
{
// and the best score visualizer
IOptimizable opt = m_bestScoreController;
List <float> paramslist = new List <float>();
paramslist.AddRange(m_lastBestParams);
opt.ConsumeParams(paramslist);
}
}
}
public BruteForce(IOptimizable optimizable) : base(optimizable)
{
this.fType = EOptimizerType.BruteForce;
}
public BruteForce(IOptimizable optimizable) : base(optimizable)
{
this.fType = EOptimizerType.BruteForce;
}
public CoordinateDescent(IOptimizable optimizable) : base(optimizable)
{
this.fType = EOptimizerType.CoordinateDescent;
this.DescentStepSize = 0.01;
}
public SimulatedAnnealing(IOptimizable Optimizable) : base(Optimizable)
{
this.ieAakAK1q();
}
public Optimizer(IOptimizable optimizable) : base()
{
this.fOptimizable = optimizable;
this.Init();
}