#region License Information /* HeuristicLab * Copyright (C) 2002-$year$ 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.Linq; using HeuristicLab.Analysis; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Optimization; using HeuristicLab.Optimization.Operators; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; using HeuristicLab.PluginInfrastructure; using HeuristicLab.Random; namespace $rootnamespace$ { /// /// A genetic algorithm. /// [Item("$algorithmName$", "$algorithmDescription$")] [Creatable("Algorithms")] [StorableClass] public sealed class $safeitemname$ : EngineAlgorithm { #region Problem Properties $problemType$ #endregion #region Parameter Properties $parameterProperties$ #endregion #region Properties $properties$ private RandomCreator RandomCreator { get { return (RandomCreator)OperatorGraph.InitialOperator; } } #endregion [StorableConstructor] private $safeitemname$(bool deserializing) : base(deserializing) { } private $safeitemname$($safeitemname$ original, Cloner cloner) : base(original, cloner) { // TODO: clone your private fields here AttachEventHandlers(); } public $safeitemname$() : base() { $parameterInitializers$ RandomCreator randomCreator = new RandomCreator(); OperatorGraph.InitialOperator = randomCreator; randomCreator.RandomParameter.ActualName = "Random"; randomCreator.SeedParameter.ActualName = SeedParameter.Name; randomCreator.SeedParameter.Value = null; randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name; randomCreator.SetSeedRandomlyParameter.Value = null; randomCreator.Successor = null; // TODO: Create further operators and build operator graph UpdateAnalyzers(); AttachEventHandlers(); } public override IDeepCloneable Clone(Cloner cloner) { return new $safeitemname$(this, cloner); } public override void Prepare() { if (Problem != null) base.Prepare(); } #region Events protected override void OnProblemChanged() { // TODO: Initialize and parameterize operators UpdateAnalyzers(); base.OnProblemChanged(); } protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) { // TODO: Parameterize operators base.Problem_SolutionCreatorChanged(sender, e); } protected override void Problem_EvaluatorChanged(object sender, EventArgs e) { // TODO: Parameterize operators base.Problem_EvaluatorChanged(sender, e); } protected override void Problem_OperatorsChanged(object sender, EventArgs e) { // TODO: Parameterize operators UpdateAnalyzers(); base.Problem_OperatorsChanged(sender, e); } #endregion #region Helpers [StorableHook(HookType.AfterDeserialization)] private void AttachEventHandlers() { // TODO: Attach event handlers to local parameters if (Problem != null) { // TODO: Attach event handlers to problem parameters } } private void UpdateAnalyzers() { Analyzer.Operators.Clear(); if (Problem != null) { foreach (IAnalyzer analyzer in Problem.Operators.OfType()) { foreach (IScopeTreeLookupParameter param in analyzer.Parameters.OfType()) param.Depth = 1; // TODO: 0 when GlobalScope = Solution, 1 when GlobalScope = Population, 2 when GlobalScope = MetaPopulation (Islands) Analyzer.Operators.Add(analyzer); } } // TODO: Add your own algorithm specific analyzer here (problem analyzer should be added/executed first) } #endregion } }