public override SolutionMatrix GetSolution()
{
var builder = new ConfigurationBuilder();
builder.SetBasePath(Directory.GetCurrentDirectory());
builder.AddJsonFile("appsettings.json");
var config = builder.Build();
string connectionString = config.GetConnectionString("DefaultConnection");
var optionsBuilder = new DbContextOptionsBuilder <AnaliticsContext>();
var options = optionsBuilder
.UseSqlServer(connectionString)
.Options;
AnaliticsContext db = new AnaliticsContext(options);
Stopwatch stopwatch = new Stopwatch();
var solutionMatrix = new SolutionMatrix();
int dimension_ = this.Data.Dimension;
var distancesPotential_ = new List <int>();
var flowPotential_ = new List <int>();
stopwatch.Start();
for (int i = 0; i < dimension_; ++i)
{
int potential = 0;
for (int j = 0; j < dimension_; ++j)
{
if (i != j)
{
potential += this.Data.Distances[i][j];
}
}
distancesPotential_.Add(potential);
}
for (int i = 0; i < dimension_; ++i)
{
int potential = 0;
for (int j = 0; j < dimension_; ++j)
{
if (i != j)
{
potential += this.Data.Flows[i][j];
}
}
flowPotential_.Add(potential);
}
int[] solution_ = Enumerable.Repeat(-1, Data.Dimension).ToArray();
for (int j = 0; j < dimension_; ++j)
{
int maxPos = 0;
int minPos = 0;
for (int i = 0; i < dimension_; ++i)
{
if (distancesPotential_[i] < distancesPotential_[maxPos])
{
maxPos = i;
}
if (flowPotential_[i] > flowPotential_[minPos])
{
minPos = i;
}
}
solution_[maxPos] = minPos;
distancesPotential_[maxPos] = -1;
flowPotential_[minPos] = Int32.MaxValue;
}
solutionMatrix.SolutionArray = solution_;
int score = 0;
for (int i = 1; i < solution_.Length; i++)
{
score += Data.Distances[solution_[i - 1]][solution_[i]] * Data.Flows[i - 1][i];
}
solutionMatrix.Score = score;
stopwatch.Stop();
var analitics = new Analitics();
analitics.Dimenssion = Data.Dimension;
long ticks = stopwatch.ElapsedTicks;
TimeSpan interval = TimeSpan.FromTicks(ticks);
analitics.Method = "Жадібний алгоритм";
analitics.WorkTime = interval.ToString();
analitics.Score = score;
db.AnaliticsTable.Add(analitics);
db.SaveChangesAsync();
return(solutionMatrix);
}
public override SolutionMatrix GetSolution()
{
var builder = new ConfigurationBuilder();
builder.SetBasePath(Directory.GetCurrentDirectory());
builder.AddJsonFile("appsettings.json");
var config = builder.Build();
string connectionString = config.GetConnectionString("DefaultConnection");
var optionsBuilder = new DbContextOptionsBuilder <AnaliticsContext>();
var options = optionsBuilder
.UseSqlServer(connectionString)
.Options;
AnaliticsContext db = new AnaliticsContext(options);
Stopwatch stopwatch = new Stopwatch();
SolutionMatrix solution = new SolutionMatrix
{
Dimension = Data.Distances.Length,
Solution = this.GetList(this.GetRandomInitSolution())
};
stopwatch.Start();
FirstSolution = solution.Solution.ToArray();
Delta betterSolution = new Delta(Data, solution);
CheckedElems = 0;
bool isLocalMinimum = false;
while (!isLocalMinimum)
{
if (!CheckBestNeighbor(betterSolution))
{
isLocalMinimum = true;
}
}
CheckedElems = Steps * Data.Dimension * (Data.Dimension - 1);
int score = 0;
for (int i = 1; i < solution.Solution.ToArray().Length; i++)
{
score += Data.Distances[solution.Solution.ToArray()[i - 1]][solution.Solution.ToArray()[i]] * Data.Flows[i - 1][i];
}
stopwatch.Stop();
var analitics = new Analitics();
analitics.Dimenssion = Data.Dimension;
long ticks = stopwatch.ElapsedTicks;
TimeSpan interval = TimeSpan.FromTicks(ticks);
analitics.Method = "Метод вектора спаду";
analitics.WorkTime = interval.ToString();
analitics.Score = score;
db.AnaliticsTable.Add(analitics);
db.SaveChangesAsync();
solution.Score = score;
solution.SolutionArray = betterSolution.ActualBestSolution.Solution.ToArray();
return(solution);
}
public AnaliticsController(AnaliticsContext analiticsContext)
{
db = analiticsContext;
}
