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SimpleAlgorithms.cpp
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592 lines (525 loc) · 16.7 KB
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#include <limits>
#include "SimpleAlgorithms.h"
void PrintMatrix(vector<vector<double>> &Matrix)
{
for (int i = 0; i < Matrix.size(); i++)
{
for (int j = 0; j < Matrix[i].size(); j++)
{
printf(" %.2f ", Matrix[i][j]);
}
cout << "\n";
}
};
void PrintMatrix(vector<vector<int>> &Matrix)
{
for (int i = 0; i < Matrix.size(); i++)
{
for (int j = 0; j < Matrix[i].size(); j++)
{
cout << Matrix[i][j] << " ";
}
cout << "\n";
}
};
void PrintVector(vector<int> &vec)
{
for (int i = 0; i < vec.size(); i++)
cout << vec[i] << " ";
cout << "\n";
};
void PrintVector(vector<double> &vec)
{
for (int i = 0; i < vec.size(); i++)
cout << vec[i] << " ";
cout << "\n";
};
void PrintMST(vector<Edge> &Edges)
{
for (int i = 0; i < Edges.size(); i++)
{
cout << Edges[i].V1 << "-" << Edges[i].V2 << " | " << Edges[i].Distance << "\n";
}
}
void SortEdgesByDistance(std::vector<Edge> &Edges)
{
std::sort(Edges.begin(), Edges.end(), [](const Edge &a, const Edge &b)
{ return a.Distance < b.Distance; });
}
vector<vector<double>> ConvertMatrix(vector<vector<double>> Matrix)
{
int n = Matrix.size();
vector<vector<double>> M1(n - 1, vector<double>(n - 1, 0));
for (int i = 1; i < n; i++)
{
for (int j = 1; j < n; j++)
{
M1[i - 1][j - 1] = Matrix[i][j];
}
}
for (int i = 0; i < M1.size(); i++)
{
for (int j = 0; j < M1[0].size(); j++)
{
M1[j][i] = M1[i][j];
}
}
return M1;
}
double FindTotalCost(vector<int> &Path, vector<vector<double>> &Matrix)
{
// Dziala na macierzy Tomasza (od V = 1)
double Cost = 0;
for (int i = 0; i < Path.size() - 1; i++)
{
int From = Path[i];
int To = Path[i + 1];
if (Matrix[From][To] != 0)
Cost += Matrix[From][To];
else
Cost += Matrix[To][From];
}
int From = Path[Path.size() - 1];
int To = Path[0];
if (Matrix[From][To] != 0)
Cost += Matrix[From][To];
else
Cost += Matrix[To][From];
return Cost;
}
// zachlanny----------------------------------------------------------------------------
vector<vector<double>> BuildMST(vector<vector<double>> &Matrix)
{
vector<vector<double>> FinalMatrix(Matrix.size(), vector<double>(Matrix.size(), 0));
vector<Edge> Edges;
for (int i = 0; i < Matrix.size(); i++)
{
for (int j = i; j < Matrix[i].size(); j++)
{
if (Matrix[i][j] != 0)
Edges.push_back({i, j, Matrix[i][j]});
}
}
// Sortowanie kraw?dzi po wagach
SortEdgesByDistance(Edges);
// tworzenie zbiorow, przy czym na poczatku kazdy zbior ma tylko jeden wierzcholek
vector<int> ListOfRepresentatives;
for (int i = 0; i < Matrix.size(); i++)
{
ListOfRepresentatives.push_back(i); // chwilowo kazdy wierzcholek jest swoim wlasnym reprezentantem
}
int i = 0;
int HowManySetsLeft = Matrix.size();
bool End = false;
while (i < Edges.size() && !End)
{
int V1 = Edges[i].V1;
int V2 = Edges[i].V2;
if (ListOfRepresentatives[V1] != ListOfRepresentatives[V2])
{
// maja roznych reprezentantow, mozna dodac
FinalMatrix[V1][V2] = Edges[i].Distance;
FinalMatrix[V2][V1] = Edges[i].Distance;
int NowyReprezentant = ListOfRepresentatives[V1];
int StaryReprezentant = ListOfRepresentatives[V2];
if (ListOfRepresentatives[V2] < ListOfRepresentatives[V1])
{
NowyReprezentant = ListOfRepresentatives[V2];
StaryReprezentant = ListOfRepresentatives[V1];
}
// cout << "Krawedz: " << StaryReprezentant << "-" << NowyReprezentant << "\n";
for (int j = 0; j < ListOfRepresentatives.size(); j++)
{
if (ListOfRepresentatives[j] == StaryReprezentant)
{
ListOfRepresentatives[j] = NowyReprezentant;
// cout << "Podmieniono: " << j << " na " << NowyReprezentant << '\n';
}
}
// PrintVector(ListOfRepresentatives);
int j = 0;
while (j < ListOfRepresentatives.size() - 1 && ListOfRepresentatives[j] == ListOfRepresentatives[j + 1])
j++;
if (j == ListOfRepresentatives.size() - 1)
End = true;
}
i++;
}
// PrintVector(ListOfRepresentatives);
// cout << "I = " << i << " | " << HowManySetsLeft << "\n";
// cout << "---------\n";
// PrintMatrix(FinalMatrix);
// cout << "---------\n";
return FinalMatrix;
}
void DFS(vector<vector<double>> &Matrix, stack<int> &Stos, vector<bool> &Visited, vector<int> &Wynik, double *Koszt)
{
int i = Stos.top();
// PrintVector(Matrix[i]);
// cout << "Wierzcholek: " << i << "\n";
int j = 0;
while (j < Matrix[i].size() && (Matrix[i][j] <= 0.0f || (Visited[j] && Matrix[i][j] > 0)))
j++;
if (j == Matrix[i].size())
{
if (!Stos.empty())
{
Wynik.push_back(Stos.top());
int V1 = Stos.top();
Stos.pop();
if (!Stos.empty())
{
int V2 = Stos.top();
(*Koszt) += Matrix[V1][V2];
DFS(Matrix, Stos, Visited, Wynik, Koszt);
}
}
else
{
return;
}
}
else
{
(*Koszt) += Matrix[i][j];
Stos.push(j);
Visited[j] = true;
DFS(Matrix, Stos, Visited, Wynik, Koszt);
}
}
double TSP(vector<vector<double>> &Matrix)
{
vector<vector<double>> MatrixMST = BuildMST(Matrix);
stack<int> Stos;
vector<int> Wynik;
vector<bool> Visited(MatrixMST.size(), false);
Stos.push(0);
Visited[0] = true;
double Cost = 0;
DFS(MatrixMST, Stos, Visited, Wynik, &Cost);
// PrintVector(Wynik);
return Cost;
}
int RandomNumber(int LowerLimit, int UpperLimit)
{
int losowaLiczba = rand() % (UpperLimit - LowerLimit) + LowerLimit;
return losowaLiczba;
}
int Przejdz(vector<vector<double>> &Matrix, vector<int> &genome, vector<bool> &Visited, double *Cost, int i, bool Randomize)
{
// cout << i << "\n";
genome.push_back(i);
Visited[i] = true;
int min = numeric_limits<int>::max();
int Index = -1;
for (int j = 0; j < Matrix.size(); j++)
{
if (Matrix[i][j] > 0 && Matrix[i][j] <= min && !Visited[j])
{
min = Matrix[i][j];
Index = j;
}
}
if (Randomize)
{
int SecondMin = numeric_limits<int>::max();
int SecondIndex = -1;
for (int j = 0; j < Matrix.size(); j++)
{
if (Matrix[i][j] > 0 && !Visited[j] && Matrix[i][j] <= SecondMin && j != Index)
{
SecondMin = -1;
SecondIndex = j;
}
}
if (SecondIndex != -1)
Index = SecondIndex;
}
if (Index != -1)
{
(*Cost) += Matrix[i][Index];
random_device rd;
mt19937 gen(rd());
uniform_int_distribution<> dis(0, 1);
Randomize = dis(gen);
return Przejdz(Matrix, genome, Visited, Cost, Index, Randomize);
}
return i;
}
void Przejdz2(vector<vector<double>> &Matrix, vector<int> &Wynik)
{
int n = Matrix.size();
int Start = RandomNumber(0, n);
// vector<int> Wynik(n, -1);
vector<bool> Visited(n, false);
Visited[Start] = true;
int VisitedCount = 1;
int i = Start;
while (VisitedCount <= n)
{
Wynik[VisitedCount - 1] = i;
Visited[i] = true;
double min1Value = numeric_limits<int>::max();
int min1Index = -1;
double min2Value = numeric_limits<int>::max();
int min2Index = -1;
for (int j = 0; j < n; j++)
{
if (Matrix[i][j] > 0 && !Visited[j] && Matrix[i][j] <= min1Value)
{
min2Value = min1Value;
min2Index = min1Index;
min1Value = Matrix[i][j];
min1Index = j;
}
}
int Randomize = RandomNumber(0, 2);
if (Randomize == 0 && min2Index != -1)
i = min2Index;
else
i = min1Index;
VisitedCount++;
}
}
void Przejdz3(vector<vector<double>> &Matrix, vector<int> &Wynik, int Start)
{
int n = Matrix.size();
// int Start = RandomNumber(0, n);
// vector<int> Wynik(n, -1);
vector<bool> Visited(n, false);
Visited[Start] = true;
int VisitedCount = 1;
int i = Start;
while (VisitedCount <= n)
{
Wynik[VisitedCount - 1] = i;
Visited[i] = true;
double min1Value = numeric_limits<int>::max();
int min1Index = -1;
for (int j = 0; j < n; j++)
{
if (Matrix[i][j] > 0 && !Visited[j] && Matrix[i][j] <= min1Value)
{
min1Value = Matrix[i][j];
min1Index = j;
}
}
i = min1Index;
VisitedCount++;
}
}
double NaiveNearestUnvisited(vector<vector<double>> &Matrix)
{
int size = Matrix.size();
mt19937 gen = mt19937{random_device{}()};
uniform_int_distribution<> randomVertex(0, size);
vector<bool> visited(Matrix.size(), false);
int initialVertex = randomVertex(gen);
int v = initialVertex;
int next;
double distance;
double minEdgeWeight = numeric_limits<double>::max();
double cost = 0;
while (!visited[v])
{
for (int i = 0; i < Matrix.size(); i++)
{
if (v <= i)
{
distance = Matrix[v][i];
}
else
{
distance = Matrix[i][v];
}
if (i == v || visited[i] || distance == 0)
{
continue;
}
if (distance < minEdgeWeight)
{
next = i;
minEdgeWeight = distance;
}
}
if (v == next)
{
break;
}
cost += minEdgeWeight;
visited[v] = true;
v = next;
minEdgeWeight = numeric_limits<int>::max();
}
cost += getDistance(Matrix, v, initialVertex);
return cost;
}
void wstawOdleglosc(vector<vector<double>> &matrix, int skad, int dokad, double wartosc)
{
if (skad <= dokad)
matrix[skad][dokad] = wartosc;
else
matrix[dokad][skad] = wartosc;
}
double getDistance(vector<vector<double>> &matrix, int v_source, int v_dest)
{
if (v_source == v_dest)
{
cout << "Co to za chodzenie do siebie?!" << '\n';
exit(1);
}
return (v_source < v_dest) ? matrix[v_source][v_dest] : matrix[v_dest][v_source];
}
double calcDistance(int x1, int y1, int x2, int y2)
{
return sqrt(pow(x1 - x2, 2) + pow(y1 - y2, 2));
}
double calcPathLength(vector<vector<double>> &matrix, vector<int> &path)
{
double sum = 0;
for (int i{0}; i < path.size() - 1; i++)
{
int v_source = path.at(i);
int v_dest = path.at(i + 1);
sum += getDistance(matrix, v_source, v_dest);
}
sum += getDistance(matrix, path.at(path.size() - 1), path.at(0));
return sum;
}
vector<vector<int>> GenereteGenomes(vector<vector<double>> &Matrix, int k)
{
vector<vector<int>> Genomes;
for (int i = 0; i < Matrix.size(); i++)
{
vector<int> G(Matrix.size(), -1);
Przejdz3(Matrix, G, i);
Genomes.push_back(G);
}
vector<vector<int>> bestGenomes = selectBestN(Genomes, Matrix, k);
return bestGenomes;
}
void Swap(int *l1, int *l2)
{
int tmp = *l1;
*l1 = *l2;
*l2 = tmp;
}
void Mutation1(Genome &G)
{
// Mutacja przez zamiane dwoch losowo wybranych miast
int n = G.size();
int FirstGen = RandomNumber(1, n);
int SecondGen = RandomNumber(1, n);
while (FirstGen == SecondGen)
SecondGen = RandomNumber(1, n);
Swap(&G[FirstGen], &G[SecondGen]);
}
void Mutation2(Genome &G)
{
// Mutacja przez wyciecie ciaglu miast i wstawienie w losowe miejsce
int n = G.size();
int SizeOfCut = RandomNumber(1, (int)(n / 2));
int StartingElement = RandomNumber(1, n - SizeOfCut);
int EndingElement = StartingElement + SizeOfCut;
Genome G1;
G1.push_back(G[0]);
int NewPosition = 0;
int FirstPartSize = StartingElement;
int SecondPartSize = n - EndingElement;
int Proportion = FirstPartSize + SecondPartSize;
int FirstProportion = (int)(100 * (float)FirstPartSize / (float)Proportion);
int SecondProportion = (int)(100 * (float)SecondPartSize / (float)Proportion);
int FromWhichPart = RandomNumber(0, 100);
if (FromWhichPart <= FirstProportion)
{
if (StartingElement != 1)
NewPosition = RandomNumber(1, StartingElement);
else
NewPosition = 1;
for (int i = 1; i < NewPosition; i++)
G1.push_back(G[i]);
for (int i = StartingElement; i < EndingElement; i++)
G1.push_back(G[i]);
for (int i = NewPosition; i < StartingElement; i++)
G1.push_back(G[i]);
for (int i = EndingElement; i < n; i++)
G1.push_back(G[i]);
}
else
{
NewPosition = RandomNumber(EndingElement, n + 1);
for (int i = 1; i < StartingElement; i++)
G1.push_back(G[i]);
for (int i = EndingElement; i < NewPosition; i++)
G1.push_back(G[i]);
for (int i = StartingElement; i < EndingElement; i++)
G1.push_back(G[i]);
for (int i = NewPosition; i < n; i++)
G1.push_back(G[i]);
}
// cout << "Cutting position: " << NewPosition << "\n";
for (int i = 0; i < n; i++)
G[i] = G1[i];
}
vector<vector<int>> selectBestN(vector<vector<int>> &population, vector<vector<double>> &matrix, int n)
{
nth_element(population.begin(), population.begin() + n, population.end(),
[&matrix](vector<int> first, vector<int> second)
{ return calcPathLength(matrix, first) < calcPathLength(matrix, second); });
vector<vector<int>> populationTrimmed;
copy(population.begin(), population.begin() + n, back_inserter(populationTrimmed));
return populationTrimmed;
}
vector<vector<int>> selectBestN(vector<vector<int>> &vec, vector<double> &calculatedKeys, int n)
{
int vecSize = vec.size();
vector<pair<double, vector<int>>> vectorsToBeSorted;
for (int i{0}; i < vecSize; i++)
{
pair<double, vector<int>> vecWithSortingKey = make_pair(calculatedKeys[i], vec[i]);
vectorsToBeSorted.push_back(vecWithSortingKey);
}
nth_element(vectorsToBeSorted.begin(), vectorsToBeSorted.begin() + n, vectorsToBeSorted.end(),
[](pair<double, vector<int>> &first, pair<double, vector<int>> &second)
{ return first.first < second.first; });
vector<vector<int>> result;
for (int i{0}; i < n; i++)
{
result.push_back(vectorsToBeSorted[i].second);
}
return result;
}
// dokladny-----------------------------------------------------------------------------
void BnB(vector<vector<double>> &Matrix, int Current, double CurrentCost,
vector<bool> Visited, int VisitedCount, double *MinCost, int Start)
{
if (VisitedCount == Matrix.size() && Current == Start && CurrentCost <= *MinCost)
{
*MinCost = CurrentCost;
cout << "New Value = " << CurrentCost << "\n";
return;
}
for (int j = 0; j < Matrix.size(); j++)
{
if (Matrix[Current][j] > 0 && !Visited[j] && CurrentCost + Matrix[Current][j] <= *MinCost)
{
Visited[j] = true;
VisitedCount++;
BnB(Matrix, j, CurrentCost + Matrix[Current][j], Visited, VisitedCount, MinCost, Start);
Visited[j] = false;
VisitedCount--;
}
}
}
double Optimim(vector<vector<double>> &matrix)
{
double MinCost = NaiveNearestUnvisited(matrix);
cout << "Optimum | Z heurystyki: " << MinCost << "\n";
vector<vector<double>> Matrix = ConvertMatrix(matrix);
vector<bool> Visited(Matrix.size(), false);
// Visited[0] = true;
// MinCost = 200000;
int n = Matrix.size() - 1;
BnB(Matrix, n, 0, Visited, 0, &MinCost, n);
return MinCost;
}