/// <summary> /// Runs the specified list data. /// </summary> /// <param name="listData">The list data.</param> /// <returns>List<System.String>[].</returns> public List <string>[] Run(List <string>[] listData) { int sheetNumber = 4; string[] setsTemplate = new string[2] { "i", "j" }; string[] setsName = new string[2] { "所有维修员元素点", "所有任务元素点" }; string[] parametersTemplate = new string[4] { "PL", "TL", "Tij", "Tjj" }; string[] parametersName = new string[4] { "PLi", "TLj", "Tij", "Tjj" }; GAMSWorkspace ws; //if (Environment.GetCommandLineArgs().Length > 1) // ws = new GAMSWorkspace(systemDirectory: Environment.GetCommandLineArgs()[1]); //else ws = new GAMSWorkspace(workspacePath, null, DebugLevel.Off); GAMSDatabase db = ws.AddDatabase(); GAMSSet[] gSet = new GAMSSet[sheetNumber]; GAMSParameter[] gPar = new GAMSParameter[sheetNumber]; for (int i = 0; i < 2; i++) //前两个表设置 { gSet[i] = db.AddSet(setsTemplate[i], 1, setsName[i]); gPar[i] = db.AddParameter(parametersTemplate[i], 1, parametersName[i]); for (int j = 0; j < listData[2 * i].Count; j++) { gSet[i].AddRecord(listData[2 * i][j]); gPar[i].AddRecord(listData[2 * i][j]).Value = Convert.ToDouble(listData[2 * i + 1][j]); } } for (int i = 2; i < 4; i++) { gPar[i] = db.AddParameter(parametersTemplate[i], 2, parametersName[i]); for (int j = 0; j < listData[3 * i - 2].Count; j++) { gPar[i].AddRecord(listData[3 * i - 2][j], listData[3 * i - 1][j]).Value = Convert.ToDouble(listData[3 * i][j]); } } GAMSJob t = ws.AddJobFromString(GetModelText()); using (GAMSOptions opt = ws.AddOptions()) { opt.Defines.Add("gdxincname", db.Name); opt.AllModelTypes = "xpress"; t.Run(opt, db); } List <string>[] resultData = GetResultData(t); return(resultData); }
public static GAMSSet Set1D(GAMSDatabase db, string id, int size, string description = "") { var set = db.AddSet(id, 1, description); for (var i = 0; i < size; i++) { set.AddRecord($"{id}{i + 1}"); } return(set); }
static void Main(string[] args) { GAMSWorkspace gmsWS; if (Environment.GetCommandLineArgs().Length > 1) { gmsWS = new GAMSWorkspace(systemDirectory: Environment.GetCommandLineArgs()[1]); } else { gmsWS = new GAMSWorkspace(); } // create a GAMSDatabase for the results GAMSDatabase resultDB = gmsWS.AddDatabase(); resultDB.AddParameter("objrep", 1, "Objective value"); resultDB.AddSet("supplyMap", 3, "Supply connection with level"); int status = 1; try { // run multiple parallel jobs Object dbLock = new Object(); System.Threading.Tasks.Parallel.For(10, 22, delegate(int i) { SolveWarehouse(gmsWS, i, resultDB, dbLock); }); // export the result database to a GDX file resultDB.Export("\\tmp\\result.gdx"); status = 0; } catch (GAMSException ex) { Console.WriteLine("GAMSException occured: " + ex.Message); } catch (System.Exception ex) { Console.WriteLine(ex.Message); } finally { resultDB.Dispose(); } Environment.ExitCode = status; }
static void ReadSet(OleDbConnection connect, GAMSDatabase db, string strAccessSelect, string setName, int setDim, string setExp = "") { try { OleDbCommand cmd = new OleDbCommand(strAccessSelect, connect); connect.Open(); OleDbDataReader reader = cmd.ExecuteReader(); if (reader.FieldCount != setDim) { Console.WriteLine("Number of fields in select statement does not match setDim"); Environment.Exit(1); } GAMSSet i = db.AddSet(setName, setDim, setExp); string[] keys = new string[setDim]; while (reader.Read()) { for (int idx = 0; idx < setDim; idx++) { keys[idx] = reader.GetString(idx); } i.AddRecord(keys); } } catch (Exception ex) { Console.WriteLine("Error: Failed to retrieve the required data from the DataBase.\n{0}", ex.Message); Environment.Exit(1); } finally { connect.Close(); } }
static void ReadSet(OleDbConnection connect, GAMSDatabase db, string strAccessSelect, string setName, int setDim, string setExp = "") { try { OleDbCommand cmd = new OleDbCommand(strAccessSelect, connect); connect.Open(); OleDbDataReader reader = cmd.ExecuteReader(); if (reader.FieldCount != setDim) { Console.WriteLine("Number of fields in select statement does not match setDim"); Environment.Exit(1); } GAMSSet i = db.AddSet(setName, setDim, setExp); string[] keys = new string[setDim]; while (reader.Read()) { for (int idx = 0; idx < setDim; idx++) keys[idx] = reader.GetString(idx); i.AddRecord(keys); } } catch (Exception ex) { Console.WriteLine("Error: Failed to retrieve the required data from the DataBase.\n{0}", ex.Message); Environment.Exit(1); } finally { connect.Close(); } }
static void Main(string[] args) { GAMSWorkspace ws; if (Environment.GetCommandLineArgs().Length > 1) { ws = new GAMSWorkspace(systemDirectory: Environment.GetCommandLineArgs()[1]); } else { ws = new GAMSWorkspace(); } GAMSCheckpoint cp = ws.AddCheckpoint(); // initialize a GAMSCheckpoint by running a GAMSJob GAMSJob t12 = ws.AddJobFromString(GetModelText()); t12.Run(cp); // create a GAMSModelInstance and solve it multiple times with different scalar bmult GAMSModelInstance mi = cp.AddModelInstance(); double[] bmultlist = new double[] { 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2, 1.3 }; GAMSDatabase db = ws.AddDatabase(); GAMSSet scen = db.AddSet("scen", 1, ""); GAMSParameter bmult = db.AddParameter("bmultlist", 1, ""); GAMSParameter zscen = db.AddParameter("zscen", 1, ""); int i = 0; foreach (double b in bmultlist) { bmult.AddRecord("s" + i).Value = b; scen.AddRecord("s" + i++); } GAMSSet dict = db.AddSet("dict", 3, ""); dict.AddRecord(scen.Name, "scenario", ""); dict.AddRecord("bmult", "param", bmult.Name); dict.AddRecord("z", "level", zscen.Name); GUSSCall(dict, mi, "transport us lp min z"); foreach (GAMSParameterRecord rec in db.GetParameter(zscen.Name)) { Console.WriteLine(rec.Keys[0] + " obj: " + rec.Value); } //******************* GAMSModelInstance mi2 = cp.AddModelInstance(); GAMSDatabase db2 = ws.AddDatabase(); GAMSSet scen2 = db2.AddSet("scen", 1, ""); GAMSParameter zscen2 = db2.AddParameter("zscen", 1, ""); GAMSParameter xup = db2.AddParameter("xup", 3, ""); for (int j = 0; j < 4; j++) { foreach (GAMSSetRecord irec in t12.OutDB.GetSet("i")) { foreach (GAMSSetRecord jrec in t12.OutDB.GetSet("j")) { xup.AddRecord("s" + j, irec.Keys[0], jrec.Keys[0]).Value = j + 1; } } scen2.AddRecord("s" + j); } GAMSSet dict2 = db2.AddSet("dict", 3, ""); dict2.AddRecord(scen2.Name, "scenario", ""); dict2.AddRecord("x", "lower", xup.Name); dict2.AddRecord("z", "level", zscen2.Name); GUSSCall(dict2, mi2, "transport us lp min z", output: Console.Out); foreach (GAMSParameterRecord rec in db2.GetParameter(zscen2.Name)) { Console.WriteLine(rec.Keys[0] + " obj: " + rec.Value); } }
static void Main(string[] args) { // Reading input data from workbook var excelApp = new Excel.Application(); Excel.Workbook wb = excelApp.Workbooks.Open(Directory.GetCurrentDirectory() + @"\..\..\..\..\Data\transport.xls"); Excel.Range range; Excel.Worksheet capacity = (Excel.Worksheet)wb.Worksheets.get_Item("capacity"); range = capacity.UsedRange; Array capacityData = (Array)range.Cells.Value; int iCount = capacity.UsedRange.Columns.Count; Excel.Worksheet demand = (Excel.Worksheet)wb.Worksheets.get_Item("demand"); range = demand.UsedRange; Array demandData = (Array)range.Cells.Value; int jCount = range.Columns.Count; Excel.Worksheet distance = (Excel.Worksheet)wb.Worksheets.get_Item("distance"); range = distance.UsedRange; Array distanceData = (Array)range.Cells.Value; // number of markets/plants have to be the same in all spreadsheets Debug.Assert((range.Columns.Count - 1) == jCount && (range.Rows.Count - 1) == iCount, "Size of the spreadsheets doesn't match"); wb.Close(); // Creating the GAMSDatabase and fill with the workbook data GAMSWorkspace ws; if (Environment.GetCommandLineArgs().Length > 1) { ws = new GAMSWorkspace(systemDirectory: Environment.GetCommandLineArgs()[1]); } else { ws = new GAMSWorkspace(); } GAMSDatabase db = ws.AddDatabase(); GAMSSet i = db.AddSet("i", 1, "Plants"); GAMSSet j = db.AddSet("j", 1, "Markets"); GAMSParameter capacityParam = db.AddParameter("a", 1, "Capacity"); GAMSParameter demandParam = db.AddParameter("b", 1, "Demand"); GAMSParameter distanceParam = db.AddParameter("d", 2, "Distance"); for (int ic = 1; ic <= iCount; ic++) { i.AddRecord((string)capacityData.GetValue(1, ic)); capacityParam.AddRecord((string)capacityData.GetValue(1, ic)).Value = (double)capacityData.GetValue(2, ic); } for (int jc = 1; jc <= jCount; jc++) { j.AddRecord((string)demandData.GetValue(1, jc)); demandParam.AddRecord((string)demandData.GetValue(1, jc)).Value = (double)demandData.GetValue(2, jc); for (int ic = 1; ic <= iCount; ic++) { distanceParam.AddRecord((string)distanceData.GetValue(ic + 1, 1), (string)distanceData.GetValue(1, jc + 1)).Value = (double)distanceData.GetValue(ic + 1, jc + 1); } } // Create and run the GAMSJob using (GAMSOptions opt = ws.AddOptions()) { GAMSJob t10 = ws.AddJobFromString(GetModelText()); opt.Defines.Add("gdxincname", db.Name); opt.AllModelTypes = "xpress"; t10.Run(opt, db); foreach (GAMSVariableRecord rec in t10.OutDB.GetVariable("x")) { Console.WriteLine("x(" + rec.Keys[0] + "," + rec.Keys[1] + "): level=" + rec.Level + " marginal=" + rec.Marginal); } } }
static void Main(string[] args) { // Create a save/restart file usually supplied by an application provider // We create it for demonstration purpose string wDir = Path.Combine(".", "tmp"); CreateSaveRestart(Path.Combine(wDir, "tbase")); // define some data by using C# data structures List <string> plants = new List <string>() { "Seattle", "San-Diego" }; List <string> markets = new List <string>() { "New-York", "Chicago", "Topeka" }; Dictionary <string, double> capacity = new Dictionary <string, double>() { { "Seattle", 350.0 }, { "San-Diego", 600.0 } }; Dictionary <string, double> demand = new Dictionary <string, double>() { { "New-York", 325.0 }, { "Chicago", 300.0 }, { "Topeka", 275.0 } }; Dictionary <Tuple <string, string>, double> distance = new Dictionary <Tuple <string, string>, double>() { { new Tuple <string, string> ("Seattle", "New-York"), 2.5 }, { new Tuple <string, string> ("Seattle", "Chicago"), 1.7 }, { new Tuple <string, string> ("Seattle", "Topeka"), 1.8 }, { new Tuple <string, string> ("San-Diego", "New-York"), 2.5 }, { new Tuple <string, string> ("San-Diego", "Chicago"), 1.8 }, { new Tuple <string, string> ("San-Diego", "Topeka"), 1.4 } }; GAMSWorkspace ws; if (Environment.GetCommandLineArgs().Length > 1) { ws = new GAMSWorkspace(workingDirectory: wDir, systemDirectory: Environment.GetCommandLineArgs()[1]); } else { ws = new GAMSWorkspace(workingDirectory: wDir); } // prepare a GAMSDatabase with data from the C# data structures GAMSDatabase db = ws.AddDatabase(); GAMSSet i = db.AddSet("i", 1, "canning plants"); foreach (string p in plants) { i.AddRecord(p); } GAMSSet j = db.AddSet("j", 1, "markets"); foreach (string m in markets) { j.AddRecord(m); } GAMSParameter a = db.AddParameter("a", 1, "capacity of plant i in cases"); foreach (string p in plants) { a.AddRecord(p).Value = capacity[p]; } GAMSParameter b = db.AddParameter("b", 1, "demand at market j in cases"); foreach (string m in markets) { b.AddRecord(m).Value = demand[m]; } GAMSParameter d = db.AddParameter("d", 2, "distance in thousands of miles"); foreach (Tuple <string, string> t in distance.Keys) { d.AddRecord(t.Item1, t.Item2).Value = distance[t]; } GAMSParameter f = db.AddParameter("f", 0, "freight in dollars per case per thousand miles"); f.AddRecord().Value = 90; // run a job using data from the created GAMSDatabase GAMSCheckpoint cpBase = ws.AddCheckpoint("tbase"); using (GAMSOptions opt = ws.AddOptions()) { GAMSJob t4 = ws.AddJobFromString(GetModelText(), cpBase); opt.Defines.Add("gdxincname", db.Name); opt.AllModelTypes = "xpress"; t4.Run(opt, db); foreach (GAMSVariableRecord rec in t4.OutDB.GetVariable("x")) { Console.WriteLine("x(" + rec.Keys[0] + "," + rec.Keys[1] + "): level=" + rec.Level + " marginal=" + rec.Marginal); } } }
static void Main(string[] args) { GAMSWorkspace ws; if (Environment.GetCommandLineArgs().Length > 1) { ws = new GAMSWorkspace(systemDirectory: Environment.GetCommandLineArgs()[1]); } else { ws = new GAMSWorkspace(); } // instantiate GAMSOptions and define parameters GAMSOptions opt = ws.AddOptions(); GAMSDatabase cutstockData = ws.AddDatabase("csdata"); opt.AllModelTypes = "Cplex"; opt.OptCR = 0.0; // Solve to optimality int maxpattern = 35; opt.Defines.Add("pmax", maxpattern.ToString()); opt.Defines.Add("solveMasterAs", "RMIP"); // define input data Dictionary <string, double> d = new Dictionary <string, double>() { { "i1", 97 }, { "i2", 610 }, { "i3", 395 }, { "i4", 211 } }; Dictionary <string, double> w = new Dictionary <string, double>() { { "i1", 47 }, { "i2", 36 }, { "i3", 31 }, { "i4", 14 } }; int r = 100; // raw width // cutstockData.AddSet("i", 1, "widths").AddRecords(d.Keys); // cutstockData.AddParameter("d", 1, "demand").AddRecords(d); // cutstockData.AddParameter("w", 1, "width").AddRecords(w); // cutstockData.AddParameter("r", 0, "raw width").AddRecord().Value = r; GAMSSet widths = cutstockData.AddSet("i", 1, "widths"); GAMSParameter rawWidth = cutstockData.AddParameter("r", 0, "raw width"); GAMSParameter demand = cutstockData.AddParameter("d", 1, "demand"); GAMSParameter width = cutstockData.AddParameter("w", 1, "width"); rawWidth.AddRecord().Value = r; foreach (string i in d.Keys) { widths.AddRecord(i); } foreach (KeyValuePair <string, double> t in d) { demand.AddRecord(t.Key).Value = t.Value; } foreach (KeyValuePair <string, double> t in w) { width.AddRecord(t.Key).Value = t.Value; } // create initial checkpoint GAMSCheckpoint masterCP = ws.AddCheckpoint(); GAMSJob masterInitJob = ws.AddJobFromString(GetMasterModel()); masterInitJob.Run(opt, masterCP, cutstockData); GAMSJob masterJob = ws.AddJobFromString("execute_load 'csdata', aip, pp; solve master min z using %solveMasterAs%;", masterCP); GAMSSet pattern = cutstockData.AddSet("pp", 1, "pattern index"); GAMSParameter patternData = cutstockData.AddParameter("aip", 2, "pattern data"); // Initial pattern: pattern i hold width i int patternCount = 0; foreach (KeyValuePair <string, double> t in w) { patternData.AddRecord(t.Key, pattern.AddRecord((++patternCount).ToString()).Keys[0]).Value = (int)(r / t.Value); } // create model instance for sub job GAMSCheckpoint subCP = ws.AddCheckpoint(); ws.AddJobFromString(GetSubModel()).Run(opt, subCP, cutstockData); GAMSModelInstance subMI = subCP.AddModelInstance(); // define modifier demdual GAMSParameter demandDual = subMI.SyncDB.AddParameter("demdual", 1, "dual of demand from master"); subMI.Instantiate("pricing min z using mip", opt, new GAMSModifier(demandDual)); // find new pattern bool patternAdded = true; do { masterJob.Run(opt, masterCP, cutstockData); // Copy duals into gmssubMI.SyncDB DB demandDual.Clear(); foreach (GAMSEquationRecord dem in masterJob.OutDB.GetEquation("demand")) { demandDual.AddRecord(dem.Keys[0]).Value = dem.Marginal; } subMI.Solve(); if (subMI.SyncDB.GetVariable("z").FindRecord().Level < -0.00001) { if (patternCount == maxpattern) { Console.Out.WriteLine("Out of pattern. Increase maxpattern (currently {0}).", maxpattern); patternAdded = false; } else { Console.WriteLine("New patter! Value: " + subMI.SyncDB.GetVariable("z").FindRecord().Level); GAMSSetRecord s = pattern.AddRecord((++patternCount).ToString()); foreach (GAMSVariableRecord y in subMI.SyncDB.GetVariable("y")) { if (y.Level > 0.5) { patternData.AddRecord(y.Keys[0], s.Keys[0]).Value = Math.Round(y.Level); } } } } else { patternAdded = false; } } while (patternAdded); // solve final MIP opt.Defines["solveMasterAs"] = "MIP"; masterJob.Run(opt, cutstockData); Console.WriteLine("Optimal Solution: {0}", masterJob.OutDB.GetVariable("z").FindRecord().Level); foreach (GAMSVariableRecord xp in masterJob.OutDB.GetVariable("xp")) { if (xp.Level > 0.5) { Console.Out.Write(" pattern {0} {1} times: ", xp.Keys[0], xp.Level); GAMSParameterRecord aip = masterJob.OutDB.GetParameter("aip").FirstRecord(" ", xp.Keys[0]); do { Console.Out.Write(" {0}: {1}", aip.Keys[0], aip.Value); } while (aip.MoveNext()); Console.Out.WriteLine(); } } // clean up of unmanaged ressources cutstockData.Dispose(); subMI.Dispose(); opt.Dispose(); }
public void ProcessTask(TaskManager.TaskDetails oTask, out List <string> lsLogs, out string sOutput, out string sStatus) { // cast input values CutStockInput oInput = new CutStockInput(); oInput = (CutStockInput)oDF.XmlStringToObject(oTask.InputValues, oInput); CutStockOutput oOutput = new CutStockOutput(); // call processing algorithm GAMSWorkspace ws = new GAMSWorkspace(); lsLog.Add("working directory : " + ws.WorkingDirectory); // instantiate GAMSOptions and define parameters GAMSOptions opt = ws.AddOptions(); GAMSDatabase cutstockData = ws.AddDatabase("csdata"); opt.AllModelTypes = "Cplex"; opt.OptCR = 0.0; // Solve to optimality opt.Defines.Add("pmax", oInput.MaxPattern.ToString()); opt.Defines.Add("solveMasterAs", "RMIP"); GAMSSet widths = cutstockData.AddSet("i", 1, "widths"); GAMSParameter rawWidth = cutstockData.AddParameter("r", 0, "raw width"); GAMSParameter demand = cutstockData.AddParameter("d", 1, "demand"); GAMSParameter width = cutstockData.AddParameter("w", 1, "width"); rawWidth.AddRecord().Value = oInput.RawWidth; foreach (CutItem oI in oInput.Items) { widths.AddRecord(oI.Name); demand.AddRecord(oI.Name).Value = oI.Demand; width.AddRecord(oI.Name).Value = oI.Width; } // create initial checkpoint GAMSCheckpoint masterCP = ws.AddCheckpoint(); GAMSJob masterInitJob = ws.AddJobFromString(GetMasterModel()); masterInitJob.Run(opt, masterCP, cutstockData); GAMSJob masterJob = ws.AddJobFromString("execute_load 'csdata', aip, pp; solve master min z using %solveMasterAs%;", masterCP); GAMSSet pattern = cutstockData.AddSet("pp", 1, "pattern index"); GAMSParameter patternData = cutstockData.AddParameter("aip", 2, "pattern data"); // Initial pattern: pattern i hold width i int patternCount = 0; foreach (GAMSParameterRecord rec in width) { patternData.AddRecord(rec.Keys[0], pattern.AddRecord((++patternCount).ToString()).Keys[0]).Value = (int)(oInput.RawWidth / rec.Value); } // create model instance for sub job GAMSCheckpoint subCP = ws.AddCheckpoint(); ws.AddJobFromString(GetSubModel()).Run(opt, subCP, cutstockData); GAMSModelInstance subMI = subCP.AddModelInstance(); // define modifier demdual GAMSParameter demandDual = subMI.SyncDB.AddParameter("demdual", 1, "dual of demand from master"); subMI.Instantiate("pricing min z using mip", opt, new GAMSModifier(demandDual)); // find new pattern bool patternAdded = true; do { masterJob.Run(opt, masterCP, cutstockData); // Copy duals into gmssubMI.SyncDB DB demandDual.Clear(); foreach (GAMSEquationRecord dem in masterJob.OutDB.GetEquation("demand")) { demandDual.AddRecord(dem.Keys[0]).Value = dem.Marginal; } subMI.Solve(); if (subMI.SyncDB.GetVariable("z").FindRecord().Level < -0.00001) { if (patternCount == oInput.MaxPattern) { lsLog.Add("Out of pattern. Increase maxpattern (currently " + oInput.MaxPattern + ")." + Environment.NewLine); patternAdded = false; } else { lsLog.Add("New pattern! Value: " + subMI.SyncDB.GetVariable("z").FindRecord().Level + Environment.NewLine); GAMSSetRecord s = pattern.AddRecord((++patternCount).ToString()); foreach (GAMSVariableRecord y in subMI.SyncDB.GetVariable("y")) { if (y.Level > 0.5) { patternData.AddRecord(y.Keys[0], s.Keys[0]).Value = Math.Round(y.Level); } } } } else { patternAdded = false; } } while (patternAdded); // solve final MIP opt.Defines["solveMasterAs"] = "MIP"; masterJob.Run(opt, cutstockData); var dlevel = masterJob.OutDB.GetVariable("z").FindRecord().Level; oOutput.OptimalSolution = (int)dlevel; lsLog.Add("Optimal Solution: " + dlevel + Environment.NewLine); List <Pattern> lP = new List <Pattern>(); foreach (GAMSVariableRecord xp in masterJob.OutDB.GetVariable("xp")) { string sPatternLog = ""; if (xp.Level > 0.5) { sPatternLog = string.Format(" pattern {0,2} {1,4} times: ", xp.Keys[0], Math.Round(xp.Level)); GAMSParameterRecord aip = masterJob.OutDB.GetParameter("aip").FirstRecord(" ", xp.Keys[0]); Pattern oP = new Pattern() { Name = "pattern " + xp.Keys[0].ToString(), Count = (int)Math.Round(xp.Level) }; List <PatternPiece> lPP = new List <PatternPiece>(); int x = 0; double scale = 100 / masterJob.OutDB.GetParameter("r").FirstRecord().Value; do { sPatternLog += " " + aip.Keys[0] + ": " + aip.Value.ToString(); // draw cuts for (int i = 0; i < aip.Value; i++) { PatternPiece oPP = new PatternPiece() { Name = aip.Keys[0], Width = (int)(width.FindRecord(aip.Keys[0]).Value *scale), Left = x, Color = oInput.Items.Where(xi => xi.Name == aip.Keys[0]).FirstOrDefault().Color }; lPP.Add(oPP); // x += oPP.Width - 1; x += oPP.Width; } } while (aip.MoveNext()); if (x < 100) { PatternPiece oPExcess = new PatternPiece() { Name = "E", Width = (int)(rawWidth.FirstRecord().Value *scale - x), Left = x, Color = "CCCCCC" }; lPP.Add(oPExcess); } lsLog.Add(sPatternLog); oP.Pieces = lPP.ToArray(); lP.Add(oP); } } oOutput.Patterns = lP.ToArray(); // clean up of unmanaged resources cutstockData.Dispose(); subMI.Dispose(); opt.Dispose(); sOutput = oDF.ObjectToXmlString(oOutput); sStatus = "completed"; lsLogs = lsLog; }