public void Perform()
{
BulkSolver bulkSolver = new BulkSolver()
{
MainDirectory = MAIN_DIRECTORY,
ParallelExecution = true,
MaxThreads = 15,
LengthFilter = new[] { "week.json", "month.json" },
};
bulkSolver.SolveEverything(RandomSlow);
bulkSolver.SolveEverything(RandomFast);
}
public void Perform()
{
BulkSolver bulkSolver = new BulkSolver()
{
MainDirectory = MAIN_DIRECTORY,
ParallelExecution = true,
MaxThreads = 15,
ReportProgrssToFile = true,
LengthFilter = new[] { "week.json", "month.json" },
};
bulkSolver.SolveEverything(InitialBad);
bulkSolver.SolveEverything(InitialGood);
}
public void Perform()
{
BulkSolver bulkSolver = new BulkSolver()
{
MainDirectory = MAIN_DIRECTORY,
ParallelExecution = true,
MaxThreads = 15,
ReportProgrssToFile = true,
LengthFilter = new[] { "week.json", "month.json" },
};
bulkSolver.SolveEverything(InsertionStartEndingDeleteConfiguration);
bulkSolver.SolveEverything(CompundNoIncom);
}
public void Perform()
{
BulkSolver bulkSolver = new BulkSolver()
{
MainDirectory = MAIN_DIRECTORY,
ParallelExecution = false,
ReportProgrssToFile = true,
LengthFilter = new[] { "week.json" },
//KindFilter = new[] { "1_ch_n", "2_ch_n", "2_ch_v", "3_ch_n", "3edu1", "3edu2", "4ch3n1a1", "4ch3n1a2" },
DifficultyFilter = new[] { "medium" },
StartingSolutionsDirectory = Path.Combine(MAIN_DIRECTORY, "solutions", "base_solutions_all"),
SavedSubpath = "evolutionary_optimization"
};
Random random = new Random();
while (true)
{
int population = random.Next(15, 46);
int parentCandidates = random.Next(1, 5);
double mutationRate = random.NextDouble();
double crossoverRate = random.NextDouble();
double powerForMut = random.NextDouble() * 6 + 1;
double mutationProbability = 0.1 * Math.Pow(0.5, powerForMut);
double powerForCros = random.NextDouble() * 6 + 1;
double crossoverProbability = 0.5 * Math.Pow(0.5, powerForCros);
string desc = $"{population}_{parentCandidates}_{mutationRate:0.###}_{crossoverRate:0.###}_{mutationProbability:0.#######}_{crossoverProbability:0.#######}";
Console.WriteLine($"currently testing {desc}\n\n\n");
bulkSolver.SolveEverything(() => EvolutionaryMakerParametrized(population, parentCandidates, mutationRate, crossoverRate, mutationProbability, crossoverProbability, desc));
}
}
public void Perform()
{
BulkSolver bulkSolver = new BulkSolver()
{
Times = 3,
MainDirectory = MAIN_DIRECTORY,
ParallelExecution = true,
MaxThreads = 15,
LengthFilter = new[] { "week.json" },
//KindFilter = new[] { "1_ch_n", "2_ch_n", "2_ch_v", "3_ch_n", "3edu1", "3edu2", "4ch3n1a1", "4ch3n1a2" },
DifficultyFilter = new[] { "medium" },
StartingSolutionsDirectory = Path.Combine(MAIN_DIRECTORY, "solutions", "base_solutions_all"),
SavedSubpath = "annealing_optimization"
};
for (int i = 2; i < 10; i += 1)
{
for (int j = 2; j < 10; ++j)
{
double alpha = 1.0 - Math.Pow(0.25, i);
double beta = Math.Pow(0.25, j);
bulkSolver.SolveEverything(() => { return(SimulatedAnnealingMakerParametrized(alpha, beta, $"{alpha}_{beta}")); });
}
}
}
public void Perform()
{
BulkSolver bulkSolver = new BulkSolver()
{
MainDirectory = MAIN_DIRECTORY,
ParallelExecution = false,
ReportProgrssToFile = true,
LengthFilter = new[] { "week.json", "month.json" },
DifficultyFilter = new[] { "medium" },
StartingSolutionsDirectory = Path.Combine(MAIN_DIRECTORY, "solutions", "base_solutions_all"),
};
bulkSolver.SolveEverything(EvolutionaryBest);
BulkSolver bulkSolver2 = new BulkSolver()
{
MainDirectory = MAIN_DIRECTORY,
ParallelExecution = true,
MaxThreads = 15,
ReportProgrssToFile = true,
LengthFilter = new[] { "week.json", "month.json" },
DifficultyFilter = new[] { "medium" },
StartingSolutionsDirectory = Path.Combine(MAIN_DIRECTORY, "solutions", "base_solutions_all"),
};
bulkSolver2.SolveEverything(SimulatedAnnealingBest);
}
public void Perform()
{
BulkSolver bulkSolver = new BulkSolver()
{
Times = 3,
MainDirectory = MAIN_DIRECTORY,
ParallelExecution = true,
ReportProgrssToFile = true,
MaxThreads = 15,
LengthFilter = new[] { "week.json" },
//KindFilter = new[] { "1_ch_n", "2_ch_n", "2_ch_v", "3_ch_n", "3edu1", "3edu2", "4ch3n1a1", "4ch3n1a2" },
DifficultyFilter = new[] { "medium" },
StartingSolutionsDirectory = Path.Combine(MAIN_DIRECTORY, "solutions", "base_solutions_all"),
SavedSubpath = "annealing_optimization3"
};
for (double i = 6.9; i < 8.1; i += 0.1)
{
for (double j = 7.9; j < 11.1; j += 0.29)
{
Console.WriteLine($"started {i} {j}");
double alpha = 1.0 - Math.Pow(0.25, i);
double beta = Math.Pow(0.25, j);
bulkSolver.SolveEverything(() => { return(SimulatedAnnealingMakerParametrized(alpha, beta, $"{alpha}_{beta}")); });
}
}
}
public void Perform()
{
BulkSolver bulkSolver = new BulkSolver()
{
Times = 2,
MainDirectory = MAIN_DIRECTORY,
ParallelExecution = true,
MaxThreads = 15,
TotalStatsCategories = new[] { "trivial", "very_easy", "easy", "medium", "hard", "extreme" },
LengthFilter = new[] { "week.json", "month.json" },
};
bulkSolver.SolveEverything(LocalSearchFinal);
}
public void Perform()
{
BulkSolver bulkSolver = new BulkSolver()
{
Times = 38,
MainDirectory = MAIN_DIRECTORY,
ParallelExecution = true,
ReportProgrssToFile = true,
MaxThreads = 15,
DifficultyFilter = new[] { "trivial", "easy", "very_easy", "hard", "extreme" },
LengthFilter = new[] { "week.json", "month.json" },
};
bulkSolver.SolveEverything(LocalSearchFinal);
}
public void Perform()
{
BulkSolver bulkSolver = new BulkSolver()
{
MainDirectory = MAIN_DIRECTORY,
ParallelExecution = false,
ReportProgrssToFile = true,
PickOnlyBestStartingSolutions = true,
LengthFilter = new[] { "week.json" },
DifficultyFilter = new[] { "medium" },
StartingSolutionsDirectory = Path.Combine(MAIN_DIRECTORY, "annealing_optimization3", "solutions") + @"\*\",
};
bulkSolver.SolveEverything(EvolutionaryBest);
}