void RunHeapSort()
{
HeapSort heapSort;
heapSort.AddData(19);
heapSort.AddData(8);
heapSort.AddData(2);
heapSort.AddData(1);
heapSort.AddData(24);
heapSort.AddData(29);
heapSort.AddData(3);
heapSort.AddData(23);
heapSort.AddData(234);
heapSort.AddData(32);
heapSort.Sort();
heapSort.PrintResult();
}
BinaryTreeChromosome* TradingSystem::PerformAnalysis(
const std::vector<Candlestick>& candlesticks,
const std::vector<BaseIndicator *>& indicators,
unsigned populationCount,
unsigned generationCount,
unsigned selectionAmount,
double leafValueMutationProbability,
double leafSignMutationProbability,
double logicalNodeMutationProbability,
double leafIndicatorMutationProbability,
double crossoverProbability,
BinaryTreeChromosome* chromosomeToStartWith,
std::function<void(double fitness, BinaryTreeChromosome * chromosome, int generation)> update
)
{
srand(static_cast<unsigned int>(time(nullptr)));
std::vector<IndicatorTuple> dataSet = EvaluateCandlesticks(candlesticks, indicators);
// Initialization
std::vector<BinaryTreeChromosome *> front_buffer = std::vector<BinaryTreeChromosome *>();
std::vector<BinaryTreeChromosome *> back_buffer = std::vector<BinaryTreeChromosome *>();
BinaryTreeFitness fitness(&(EvaluateFitness), &dataSet);
BinaryTreeGeneticAlgo selection = BinaryTreeGeneticAlgo(
selectionAmount,
leafValueMutationProbability,
leafSignMutationProbability,
logicalNodeMutationProbability,
leafIndicatorMutationProbability,
crossoverProbability
);
for (unsigned y = 0; y < populationCount; y++)
{
front_buffer.push_back(new BinaryTreeChromosome());
back_buffer.push_back(new BinaryTreeChromosome());
}
for (unsigned i = 0; i < populationCount; i++)
{
front_buffer[i]->GenerateTree(3, indicators);
back_buffer[i]->GenerateTree(3, indicators);
front_buffer[i]->setFitness(0);
back_buffer[i]->setFitness(0);
}
if (chromosomeToStartWith != nullptr)
{
for (unsigned i = 0; i < populationCount; i++)
{
chromosomeToStartWith->copyTo(front_buffer[i]);
chromosomeToStartWith->copyTo(back_buffer[i]);
if (i != 0) {
front_buffer[i]->Mutate(
leafValueMutationProbability,
leafSignMutationProbability,
logicalNodeMutationProbability,
crossoverProbability,
leafIndicatorMutationProbability
);
back_buffer[i]->Mutate(
leafValueMutationProbability,
leafSignMutationProbability,
logicalNodeMutationProbability,
crossoverProbability,
leafIndicatorMutationProbability
);
}
}
}
HeapSort heapSort;
std::vector<BinaryTreeChromosome*>* p_front_buffer = &front_buffer;
std::vector<BinaryTreeChromosome*>* p_back_buffer = &back_buffer;
std::vector<BinaryTreeChromosome*>* tmp2;
for (unsigned y = 0; y < generationCount; y++)
{
fitness.CalculateFitness(p_front_buffer);
tmp2 = p_front_buffer;
p_front_buffer = p_back_buffer;
p_back_buffer = tmp2;
heapSort.Sort(p_back_buffer, populationCount);
update(p_back_buffer->at(populationCount - 1)->getFitness(), p_back_buffer->at(populationCount - 1), y + 1 /* Start with 1 */);
// Selection
selection.Select(p_front_buffer, p_back_buffer, populationCount);
}
fitness.CalculateFitness(p_front_buffer);
heapSort.Sort(p_front_buffer, populationCount);
BinaryTreeChromosome* bestFit = new BinaryTreeChromosome(p_front_buffer->at(populationCount - 1));
for (unsigned i = 0; i < populationCount; i++)
{
delete front_buffer[i];
delete back_buffer[i];
}
return bestFit;
} // TradingSystem::PerformAnalysis
void TestSortingAlgos() {
try
{
BubbleSort testBObj;
int arrB[ARRAY_SIZE] = { 15,3,12,10,1,9,6,11,5,4 };
testBObj.LoadData(arrB, ARRAY_SIZE);
testBObj.Print();
testBObj.Sort();
cout << "Bubble Sort Output:";
testBObj.Print();
SelectionSort testSObj;
int arrS[ARRAY_SIZE] = { 15,3,12,10,1,9,6,11,5,4 };
testSObj.LoadData(arrS, ARRAY_SIZE);
testSObj.Print();
testSObj.Sort();
cout << "Selection Sort Output:";
testSObj.Print();
InsertionSort testIObj;
int arrI[ARRAY_SIZE] = { 15,3,12,10,1,9,6,11,5,4 };
testIObj.LoadData(arrI, ARRAY_SIZE);
testIObj.Print();
testIObj.Sort();
cout << "Insertion Sort Output:";
testIObj.Print();
MergeSort testMObj;
int arrM[ARRAY_SIZE] = { 15,3,12,10,1,9,6,11,5,4 };
testMObj.LoadData(arrM, ARRAY_SIZE);
testMObj.Print();
testMObj.Sort();
cout << "Insertion Sort Output:";
testMObj.Print();
QuickSort testQObj;
int arrQ[] = { 15,3,12,10,1,9,6,11,5,4, 12, 8,1, -23, 87,45, 12, 423 };
testQObj.LoadData(arrQ, sizeof(arrQ)/sizeof(int));
testQObj.Print();
testQObj.Sort();
cout << "Quick Sort Output:";
testQObj.Print();
HeapSort testHObj;
int arrH[] = { 15,3,12,10,1,9,6,11,5,4, 12, 8,1, -23, 87,45, 12, 423 };
testHObj.LoadData(arrH, sizeof(arrH) / sizeof(int));
testHObj.Print();
testHObj.Sort();
cout << "Heap Sort Output:";
testHObj.Print();
QuickSortRandomized testQRObj;
int arrQR[] = { 15,3,12,10,1,9,6,11,5,4, 12, 8,1, -23, 87,45, 12, 423 };
testQRObj.LoadData(arrQR, sizeof(arrQR) / sizeof(int));
testQRObj.Print();
testQRObj.Sort();
cout << "Heap Sort Output:";
testQRObj.Print();
HeapSortRevised testHSRObj;
int arrHSR[] = { 15,3,12,10,1,9,6,11,5,4, 12, 8,1, -23, 87,45, 12, 423 };
testHSRObj.LoadData(arrHSR, sizeof(arrHSR) / sizeof(int));
testHSRObj.Print();
testHSRObj.Sort();
cout << "Heap Sort Output:";
testHSRObj.Print();
}
catch (const std::exception& E)
{
cerr << "Caught exception \"" << E.what() << "\"\n";
}
catch (...)
{
cerr << "Caught unknown exception";
}
}
