static void Main(string[] args)
{
Console.WriteLine("Enter the string you want to search within.");
string hayStack = Console.ReadLine();
Console.WriteLine("Enter the string you want to search for.");
string needle = Console.ReadLine();
var ps = new PatternSearch <char>(needle.ToCharArray());
Console.WriteLine();
Console.WriteLine();
Console.WriteLine(hayStack);
var matches = ps.Matches(hayStack.ToCharArray()).ToList();
for (int i = 0; i < hayStack.Length; i++)
{
Console.Write(matches.Contains(i) ? "↑" : " ");
}
Console.WriteLine();
Console.ReadLine();
}
public void test()
{
string cfile = "C:\\Users\\Administrator\\Desktop\\Optimizer\\";
General G = new General();
JADE JADE = new JADE();
Nelder_Mead Nelder_Mead = new Nelder_Mead();
CMA_ES CMA_ES = new CMA_ES();
CoDE CoDE = new CoDE();
PSO PSO = new PSO();
PatternSearch PatternSearch = new PatternSearch();
DE_rand_1 DE_rand_1 = new DE_rand_1();
DE_best_1 DE_best_1 = new DE_best_1();
DE_rand_2 DE_rand_2 = new DE_rand_2();
DE_best_2 DE_best_2 = new DE_best_2();
Stopwatch stopwatch = new Stopwatch();
Random rd = new Random();
List <string[]> comeout = new List <string[]>();
List <string[]> fun = new List <string[]>();
List <string[]> time = new List <string[]>();
int[] X_Dim = new int[20];
int TotalRuns = 30;
for (int i = 0; i < X_Dim.Length; i++)
{
X_Dim[i] = 2 * (i + 3);
}
string[] Table_Head2 = new string[11] {
"X_Dim", "JADE", "Nelder_Mead", "CMA_ES", "CoDE", "PSO", "PatternSearch", "DE_rand_1", "DE_best_1", "DE_rand_2", "DE_best_2"
};
fun.Add(Table_Head2);
time.Add(Table_Head2);
for (int ii = 10; ii < X_Dim.Length; ii++)
{
Console.WriteLine("X_Dim: " + X_Dim[ii]);
double[] X_Opt = new double[X_Dim[ii]]; // 最优解
double[] X_I = new double[X_Dim[ii]];
double[] X_MaxStep = new double[X_Dim[ii]];
double[] X_Lb = new double[X_Dim[ii]];
double[] X_Ub = new double[X_Dim[ii]];
for (int k = 0; k < X_Dim[ii] - 1; k++)
{
X_MaxStep[k] = 100.0;
X_Lb[k] = 0;
}
X_MaxStep[X_Dim[ii] - 1] = 100.0;
X_Lb[X_Dim[ii] - 1] = Math.PI;
for (int k = 0; k < X_Dim[ii] / 2 - 1; k++)
{
X_Ub[k] = 1;
}
X_Ub[X_Dim[ii] / 2 - 1] = 0;
for (int k = X_Dim[ii] / 2; k < X_Dim[ii]; k++)
{
X_Ub[k] = Math.PI;
}
double[] JADE_Fun = new double[TotalRuns];
double[] JADE_Time = new double[TotalRuns];
string JADE_Config = cfile + "JADE.csv";
double[] Nelder_Mead_Fun = new double[TotalRuns];
double[] Nelder_Mead_Time = new double[TotalRuns];
string Nelder_Mead_Config = cfile + "Nelder_Mead.csv";
double[] CMA_ES_Fun = new double[TotalRuns];
double[] CMA_ES_Time = new double[TotalRuns];
string CMA_ES_Config = cfile + "CMA_ES.csv";
double[] CoDE_Fun = new double[TotalRuns];
double[] CoDE_Time = new double[TotalRuns];
string CoDE_Config = cfile + "CoDE.csv";
double[] PSO_Fun = new double[TotalRuns];
double[] PSO_Time = new double[TotalRuns];
string PSO_Config = cfile + "PSO.csv";
double[] PatternSearch_Fun = new double[TotalRuns];
double[] PatternSearch_Time = new double[TotalRuns];
string PatternSearch_Config = cfile + "PatternSearch.csv";
double[] DE_rand_1_Fun = new double[TotalRuns];
double[] DE_rand_1_Time = new double[TotalRuns];
string DE_rand_1_Config = cfile + "DE_rand_1.csv";
double[] DE_best_1_Fun = new double[TotalRuns];
double[] DE_best_1_Time = new double[TotalRuns];
string DE_best_1_Config = cfile + "DE_best_1.csv";
double[] DE_rand_2_Fun = new double[TotalRuns];
double[] DE_rand_2_Time = new double[TotalRuns];
string DE_rand_2_Config = cfile + "DE_rand_2.csv";
double[] DE_best_2_Fun = new double[TotalRuns];
double[] DE_best_2_Time = new double[TotalRuns];
string DE_best_2_Config = cfile + "DE_best_2.csv";
for (int i = 0; i < TotalRuns; i++)
{
for (int k = 0; k < X_Dim[ii]; k++)
{
X_I[k] = G.rnd_uni(rd) * (X_Ub[k] - X_Lb[k]) + X_Lb[k];
}
stopwatch.Start();
X_Opt = JADE.StartOpt(JADE_Config, X_I, X_MaxStep, X_Lb, X_Ub, out JADE_Fun[i]);
stopwatch.Stop();
JADE_Time[i] = stopwatch.Elapsed.TotalSeconds;
Console.WriteLine("JADE: run: " + (i + 1) + ", time(s): " + stopwatch.Elapsed.TotalSeconds);
stopwatch.Reset();
stopwatch.Start();
X_Opt = Nelder_Mead.StartOpt(Nelder_Mead_Config, X_I, X_MaxStep, X_Lb, X_Ub, out Nelder_Mead_Fun[i]);
stopwatch.Stop();
Nelder_Mead_Time[i] = stopwatch.Elapsed.TotalSeconds;
Console.WriteLine("Nelder_Mead: run: " + (i + 1) + ", time(s): " + stopwatch.Elapsed.TotalSeconds);
stopwatch.Reset();
stopwatch.Start();
X_Opt = CMA_ES.StartOpt(CMA_ES_Config, X_I, X_MaxStep, X_Lb, X_Ub, out CMA_ES_Fun[i]);
stopwatch.Stop();
CMA_ES_Time[i] = stopwatch.Elapsed.TotalSeconds;
Console.WriteLine("CMA_ES: run: " + (i + 1) + ", time(s): " + stopwatch.Elapsed.TotalSeconds);
stopwatch.Reset();
stopwatch.Start();
X_Opt = CoDE.StartOpt(CoDE_Config, X_I, X_MaxStep, X_Lb, X_Ub, out CoDE_Fun[i]);
stopwatch.Stop();
CoDE_Time[i] = stopwatch.Elapsed.TotalSeconds;
Console.WriteLine("CoDE: run: " + (i + 1) + ", time(s): " + stopwatch.Elapsed.TotalSeconds);
stopwatch.Reset();
stopwatch.Start();
X_Opt = PSO.StartOpt(PSO_Config, X_I, X_MaxStep, X_Lb, X_Ub, out PSO_Fun[i]);
stopwatch.Stop();
PSO_Time[i] = stopwatch.Elapsed.TotalSeconds;
Console.WriteLine("PSO: run: " + (i + 1) + ", time(s): " + stopwatch.Elapsed.TotalSeconds);
stopwatch.Reset();
stopwatch.Start();
X_Opt = PatternSearch.StartOpt(PatternSearch_Config, X_I, X_MaxStep, X_Lb, X_Ub, out PatternSearch_Fun[i]);
stopwatch.Stop();
PatternSearch_Time[i] = stopwatch.Elapsed.TotalSeconds;
Console.WriteLine("PatternSearch: run: " + (i + 1) + ", time(s): " + stopwatch.Elapsed.TotalSeconds);
stopwatch.Reset();
stopwatch.Start();
X_Opt = DE_rand_1.StartOpt(DE_rand_1_Config, X_I, X_MaxStep, X_Lb, X_Ub, out DE_rand_1_Fun[i]);
stopwatch.Stop();
DE_rand_1_Time[i] = stopwatch.Elapsed.TotalSeconds;
Console.WriteLine("DE_rand_1: run: " + (i + 1) + ", time(s): " + stopwatch.Elapsed.TotalSeconds);
stopwatch.Reset();
stopwatch.Start();
X_Opt = DE_best_1.StartOpt(DE_best_1_Config, X_I, X_MaxStep, X_Lb, X_Ub, out DE_best_1_Fun[i]);
stopwatch.Stop();
DE_best_1_Time[i] = stopwatch.Elapsed.TotalSeconds;
Console.WriteLine("DE_best_1: run: " + (i + 1) + ", time(s): " + stopwatch.Elapsed.TotalSeconds);
stopwatch.Reset();
stopwatch.Start();
X_Opt = DE_rand_2.StartOpt(DE_rand_2_Config, X_I, X_MaxStep, X_Lb, X_Ub, out DE_rand_2_Fun[i]);
stopwatch.Stop();
DE_rand_2_Time[i] = stopwatch.Elapsed.TotalSeconds;
Console.WriteLine("DE_rand_2: run: " + (i + 1) + ", time(s): " + stopwatch.Elapsed.TotalSeconds);
stopwatch.Reset();
stopwatch.Start();
X_Opt = DE_best_2.StartOpt(DE_best_2_Config, X_I, X_MaxStep, X_Lb, X_Ub, out DE_best_2_Fun[i]);
stopwatch.Stop();
DE_best_2_Time[i] = stopwatch.Elapsed.TotalSeconds;
Console.WriteLine("DE_best_2: run: " + (i + 1) + ", time(s): " + stopwatch.Elapsed.TotalSeconds);
stopwatch.Reset();
}
if (true)
{
string[] Dim = new string[2] {
"X_DIM", X_Dim[ii].ToString()
};
string[] Table_Head1 = new string[8] {
"Algorithm", "Mean", "StandardDeviation", "Min", "Max", "MeanTime(s)", "MinTime(s)", "MaxTime(s)"
};
comeout.Add(Dim);
comeout.Add(Table_Head1);
comeout.Add(data_process("JADE", JADE_Fun, JADE_Time));
comeout.Add(data_process("Nelder_Mead", Nelder_Mead_Fun, Nelder_Mead_Time));
comeout.Add(data_process("CMA_ES", CMA_ES_Fun, CMA_ES_Time));
comeout.Add(data_process("CoDE", CoDE_Fun, CoDE_Time));
comeout.Add(data_process("PSO", PSO_Fun, PSO_Time));
comeout.Add(data_process("PatternSearch", PatternSearch_Fun, PatternSearch_Time));
comeout.Add(data_process("DE_rand_1", DE_rand_1_Fun, DE_rand_1_Time));
comeout.Add(data_process("DE_best_1", DE_best_1_Fun, DE_best_1_Time));
comeout.Add(data_process("DE_rand_2", DE_rand_2_Fun, DE_rand_2_Time));
comeout.Add(data_process("DE_best_2", DE_best_2_Fun, DE_best_2_Time));
string comeoutPath = cfile + "comeout_" + X_Dim[ii].ToString() + ".csv";
G.WriteCSV(comeoutPath, false, comeout);
fun.Add(data_process1(X_Dim[ii], JADE_Fun, Nelder_Mead_Fun, CMA_ES_Fun, CoDE_Fun, PSO_Fun, PatternSearch_Fun, DE_rand_1_Fun, DE_best_1_Fun, DE_rand_2_Fun, DE_best_2_Fun));
time.Add(data_process1(X_Dim[ii], JADE_Time, Nelder_Mead_Time, CMA_ES_Time, CoDE_Time, PSO_Time, PatternSearch_Time, DE_rand_1_Time, DE_best_1_Time, DE_rand_2_Time, DE_best_2_Time));
}
}
string comeoutPath1 = cfile + "fun.csv";
G.WriteCSV(comeoutPath1, false, fun);
string comeoutPath2 = cfile + "time.csv";
G.WriteCSV(comeoutPath2, false, time);
}