#region License Information /* HeuristicLab * Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using System; using System.Collections.Generic; using System.ComponentModel; using System.Data; using System.Drawing; using System.Linq; using System.Text; using System.Windows.Forms; using HeuristicLab.Optimization; namespace HeuristicLab.Optimizer { public partial class CreateExperimentDialog : Form { private IAlgorithm algorithm; public IAlgorithm Algorithm { get { return algorithm; } set { algorithm = value; experiment = null; okButton.Enabled = algorithm != null; } } private Experiment experiment; public Experiment Experiment { get { return experiment; } } public CreateExperimentDialog() { experiment = null; algorithm = null; InitializeComponent(); } public CreateExperimentDialog(IAlgorithm algorithm) : this() { Algorithm = algorithm; } private void createBatchRunCheckBox_CheckedChanged(object sender, EventArgs e) { repetitionsNumericUpDown.Enabled = createBatchRunCheckBox.Checked; } private void repetitionsNumericUpDown_Validated(object sender, EventArgs e) { if (repetitionsNumericUpDown.Text == string.Empty) repetitionsNumericUpDown.Text = repetitionsNumericUpDown.Value.ToString(); } private void okButton_Click(object sender, EventArgs e) { experiment = new Experiment(Algorithm.Name); if (createBatchRunCheckBox.Checked) { BatchRun batchRun = new BatchRun(Algorithm.Name); batchRun.Repetitions = (int)repetitionsNumericUpDown.Value; batchRun.Algorithm = (IAlgorithm)Algorithm.Clone(); Experiment.Optimizers.Add(batchRun); } else { Experiment.Optimizers.Add((IAlgorithm)Algorithm.Clone()); } Experiment.Prepare(true); } } }