public void run()
{
string outputFileName = InstanceName + ".csv";
var qapDataReader = new QapDataFileReader();
QapSolutionBenchmark benchmark = new QapSolutionBenchmark();
var data = qapDataReader.ReadData(@"../AlgBattle/Data/BaseData/" + InstanceName + ".dat");
var optimalSolution = qapDataReader.ReadSolution(@"../AlgBattle/Data/BaseData/" + InstanceName + ".sln");
Console.WriteLine("Start processing");
QapSimpleGreedySolver hSolver = new QapSimpleGreedySolver(data);
RunSolver(hSolver, data, benchmark, optimalSolution, "efficiency_heuristic_" + outputFileName);
Console.WriteLine("Heuristic done");
QapRandomSolver rSolver = new QapRandomSolver(data);
RunSolver(rSolver, data, benchmark, optimalSolution, "efficiency_random_" + outputFileName);
Console.WriteLine("Random done");
QapSteepestLocalSolver sSolver = new QapSteepestLocalSolver(data);
RunSolver(sSolver, data, benchmark, optimalSolution, "efficiency_steepest_" + outputFileName);
Console.WriteLine("Steepest done");
QapGreedyLocalSolver gSolver = new QapGreedyLocalSolver(data);
RunSolver(gSolver, data, benchmark, optimalSolution, "efficiency_greedy_" + outputFileName);
Console.WriteLine("greedy done");
QapAnnealingSolver aSolver = new QapAnnealingSolver(data);
RunSolver(aSolver, data, benchmark, optimalSolution, "efficiency_annealing_" + outputFileName);
Console.WriteLine("annealing done");
QapTabuSolver tSolver = new QapTabuSolver(data);
RunSolver(tSolver, data, benchmark, optimalSolution, "efficiency_tabu_" + outputFileName);
Console.WriteLine("tabu done");
}
public void run()
{
string outputFileName = InstanceName + ".csv";
var qapDataReader = new QapDataFileReader();
QapSolutionBenchmark benchmark = new QapSolutionBenchmark();
var data = qapDataReader.ReadData(@"../AlgBattle/Data/BaseData/" + InstanceName + ".dat");
var optimalSolution = qapDataReader.ReadSolution(@"../AlgBattle/Data/BaseData/" + InstanceName + ".sln");
QapSteepestLocalSolver sSolver = new QapSteepestLocalSolver(data);
runSolver(sSolver, data, benchmark, optimalSolution, "repeating_steepest_" + outputFileName);
QapGreedyLocalSolver gSolver = new QapGreedyLocalSolver(data);
runSolver(gSolver, data, benchmark, optimalSolution, "repeating_greedy_" + outputFileName);
QapAnnealingSolver aSolver = new QapAnnealingSolver(data);
runSolver(aSolver, data, benchmark, optimalSolution, "repeating_annealing_" + outputFileName);
QapTabuSolver tSolver = new QapTabuSolver(data);
runSolver(tSolver, data, benchmark, optimalSolution, "repeating_tabu_" + outputFileName);
}