public void GroupRun()
{
var uri = string.Format($"{Environment.CurrentDirectory}");
var fullUri = string.Format($"{Environment.CurrentDirectory}\\OD.xlsx");
var groups = new List <Group>();
Varias.GroupNo = 0;
ReadExcel.Varia(fullUri);
var result = ReadExcel.LuDuan(fullUri);
result = result.OrderBy(l => l.No).ToList();
var luduans = ReadExcel.LuduanAndPoint(result, fullUri);
var nodes = ReadExcel.Nodes(fullUri);
var ods = ReadExcel.OD(fullUri);
#region 产生种群
for (int i = 0; i < Varias.M; i++)
{
foreach (var od in ods)
{
od.LuJings = GenarateLuJing.GetAllPath(od, luduans, nodes);
foreach (var lujing in od.LuJings) //添加路段所在路径信息
{
foreach (var luduan in lujing.LuDuans)
{
if (luduan.No != 0)
{
if (luduans.NumOf(luduan.No).At == null)
{
luduans.NumOf(luduan.No).At = new List <LuJing>();
}
if (!luduans.NumOf(luduan.No).At.Any(l => l.start.No == lujing.Nodes.First().No&& l.end.No == lujing.Nodes.Last().No))
{
luduans.NumOf(luduan.No).At.Add(lujing);
}
}
}
}
}
var group = new Group
{
No = Varias.GroupNo,
Luduans = luduans,
Ods = ods
};
foreach (var ld in group.Luduans)
{
ld.F = Randam.F;
}
groups.Add(group);
Varias.GroupNo += 1;
}
#endregion
#region 循环
foreach (var group in groups)
{
Varias.IsGA = true;
group.Result = Iteration.Run(group.Ods, group.Luduans, ReadExcel.Nodes(fullUri), uri);
}
var mins = new List <double>();
for (int i = 0; i < Varias.T; i++)
{
var chosenGroup = Randam.Roulette(groups);
var ODs = ReadExcel.OD(fullUri);
var children = GeneticAlgorithm.Children(groups, ODs, luduans, nodes);
foreach (var child in children)
{
child.Result = Iteration.Run(child.Ods, child.Luduans, ReadExcel.Nodes(fullUri), uri);
}
var maxGroup = groups.OrderBy(g => g.Result).Take(Varias.M - (int)Math.Round(Varias.M * Varias.Pc)).ToList();
children.AddRange(maxGroup);
children = GeneticAlgorithm.CalculateFitness(groups);
mins.Add(children.Min(c => c.Result));
}
#endregion
}
private void GA_Button_Click(object sender, EventArgs e)
{
messageBox.Text = string.Empty;
Stopwatch sw = new Stopwatch();
sw.Start();
var uri = string.Format($"{Environment.CurrentDirectory}");
var fullUri = string.Empty;
if (string.IsNullOrWhiteSpace(PathBox.Text))
{
fullUri = string.Format($"{Environment.CurrentDirectory}\\Data\\OD.xlsx");
}
else
{
fullUri = PathBox.Text;
}
var groups = new List <Group>();
Varias.GroupNo = 0;
ReadExcel.Excel2Json(fullUri);
var nodesOrigin = ReadExcel.Nodes(fullUri);
var odsOrigin = ReadExcel.OD(fullUri);
var result = ReadExcel.LuDuan(fullUri);
result = result.OrderBy(l => l.No).ToList();
var luduansOrigin = ReadExcel.LuduanAndPoint(result, fullUri);
messageBox.Text += string.Format($"数据读入成功！\r\n{nameof(nodesOrigin)}：{nodesOrigin.Count}\r\n");
messageBox.Text += string.Format($"{nameof(odsOrigin)}：{odsOrigin.Count}\r\n");
messageBox.Text += string.Format($"{nameof(luduansOrigin)}：{luduansOrigin.Count}\r\n");
#region 产生种群
for (int i = 0; i < Varias.M; i++)
{
var luduans = CopyHelper.DeepClone(luduansOrigin);
var ods = CopyHelper.DeepClone(odsOrigin);
var nodes = CopyHelper.DeepClone(nodesOrigin);
foreach (var od in ods)
{
od.LuJings = GenarateLuJing.GetAllPath(od, luduans, nodes);
foreach (var lujing in od.LuJings) //添加路段所在路径信息
{
foreach (var luduan in lujing.LuDuans)
{
if (luduan.No != 0)
{
if (luduans.NumOf(luduan.No).At == null)
{
luduans.NumOf(luduan.No).At = new List <LuJing>();
}
if (!luduans.NumOf(luduan.No).At.Any(l => l.start.No == lujing.Nodes.First().No&& l.end.No == lujing.Nodes.Last().No))
{
luduans.NumOf(luduan.No).At.Add(lujing);
}
}
}
}
}
var group = new Group
{
No = Varias.GroupNo,
Luduans = luduans,
Ods = ods
};
foreach (var ld in group.Luduans)
{
ld.F = Randam.F;
}
groups.Add(group);
Varias.GroupNo += 1;
}
messageBox.Text += string.Format($"产生种群：{groups.Count}\r\n");
#endregion
sw.Stop();
messageBox.Text += string.Format(($"数据读取完成，耗时{sw.ElapsedMilliseconds / 1000}秒，开始数据初始化\r\n"));
#region 循环
sw.Restart();
Varias.IsGA = true;
foreach (var group in groups)
{
group.Result = Iteration.Run(group.Ods, group.Luduans, ReadExcel.Nodes(fullUri), uri);
}
sw.Stop();
messageBox.Text += string.Format(($"数据初始化完成，{groups.Count}个种群共耗时{sw.ElapsedMilliseconds / 1000}秒，开始遗传算法迭代\r\n"));
var minResults = new List <double>();
var minFs = new List <List <int> >();
sw.Restart();
var results = new Dictionary <int, List <double> >();
for (int i = 0; i < Varias.T; i++)
{
var sw2 = new Stopwatch();
sw2.Start();
var chosenGroup = CopyHelper.DeepClone(Randam.Roulette(groups));
var children = GeneticAlgorithm.Children(chosenGroup, CopyHelper.DeepClone(odsOrigin), CopyHelper.DeepClone(luduansOrigin), CopyHelper.DeepClone(nodesOrigin));
#region 原有串行代码
//foreach (var child in children)
//{
// child.Result = Iteration.Run(child.Ods, child.Luduans, ReadExcel.Nodes(fullUri), uri);
//}
#endregion
#region 并行
Parallel.ForEach <Group>(children, child =>
{
child.Result = Iteration.Run(child.Ods, child.Luduans, ReadExcel.Nodes(fullUri), uri);
});
#endregion
var minGroup = groups.OrderBy(g => g.Result).Take(Varias.M - (int)Math.Round(Varias.M * Varias.Pc)).ToList();
children.AddRange(minGroup);
children = GeneticAlgorithm.CalculateFitness(children);
var minResult = children.Min(c => c.Result);
minResults.Add(minResult);
minFs.Add(CopyHelper.DeepClone(children.FirstOrDefault(g => g.Result == minResult).Fs));
results.Add(i, children.Select(c => c.Result).ToList());
sw2.Stop();
groups = children;
messageBox.Text += string.Format(($"第{i + 1}次迭代完成，耗时{sw2.ElapsedMilliseconds / 1000}秒\r\n"));
}
sw.Stop();
messageBox.Text += string.Format(($"遗传算法完成，{Varias.T}次迭代共耗时{sw.ElapsedMilliseconds / 1000}秒"));
#endregion
#region 输出到Excel
IWorkbook workbook = new XSSFWorkbook();
ISheet sheet1 = workbook.CreateSheet("ResultFs");
IRow row0 = sheet1.CreateRow(0);
row0.CreateCell(0).SetCellValue("Result");
row0.CreateCell(1).SetCellValue("Fs");
row0.CreateCell(1).SetCellValue(Varias.MaxResult);
var rowCount = 0;
foreach (var Fs in minFs)
{
rowCount = rowCount + 1;
IRow row = sheet1.CreateRow(rowCount);
row.CreateCell(0).SetCellValue(minResults[rowCount - 1]);
for (int i = 0; i < Fs.Count; i++)
{
row.CreateCell(i + 1).SetCellValue(Fs[i]);
}
}
ISheet sheet2 = workbook.CreateSheet("AllResult");
IRow row1 = sheet2.CreateRow(0);
row1.CreateCell(0).SetCellValue("No");
row1.CreateCell(1).SetCellValue("Result");
rowCount = 0;
foreach (var list in results)
{
rowCount = rowCount + 1;
IRow row = sheet2.CreateRow(rowCount);
row1.CreateCell(0).SetCellValue(string.Format($"{list.Key}"));
for (int i = 0; i < list.Value.Count; i++)
{
row.CreateCell(i + 1).SetCellValue(list.Value[i]);
}
}
ISheet sheet3 = workbook.CreateSheet("AllGroups");
IRow row3 = sheet3.CreateRow(0);
rowCount = 0;
foreach (var list in groups)
{
rowCount = rowCount + 1;
IRow row = sheet3.CreateRow(rowCount);
row.CreateCell(0).SetCellValue(string.Format($"{list.Fitness}"));
for (int i = 0; i < list.Fs.Count; i++)
{
row.CreateCell(i + 1).SetCellValue(list.Fs[i]);
}
}
var newFile = string.Format($"{uri}\\Data\\{DateTime.Now.Day}-{DateTime.Now.Hour}-{DateTime.Now.Minute}-{DateTime.Now.Second}-遗传算法结果.xlsx");
FileStream sw1 = File.Create(newFile);
workbook.Write(sw1);
workbook.Close();
sw1.Close();
#endregion
}