#region License Information
/* HeuristicLab
* Copyright (C) 2002-2016 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.Threading;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Random;
using ExecutionContext = HeuristicLab.Core.ExecutionContext;
namespace HeuristicLab.Optimization.Algorithms.SingleObjective {
[Item("AlgorithmContext", "")]
[StorableClass]
public abstract class HeuristicAlgorithmContext : ParameterizedNamedItem,
IProblemContext, IStochasticContext,
IEvaluatedSolutionsContext, IBestQualityContext, IBestSolutionContext,
ILongRunningOperationContext
where TProblem : class, ISingleObjectiveProblem, ISingleObjectiveProblemDefinition
where TEncoding : class, IEncoding
where TSolution : class, ISolution {
private IExecutionContext parent;
public IExecutionContext Parent {
get { return parent; }
set { parent = value; }
}
IKeyedItemCollection IExecutionContext.Parameters {
get { return Parameters; }
}
public CancellationToken CancellationToken { get; set; }
[Storable]
private IValueParameter problem;
public TProblem Problem {
get { return problem.Value; }
set { problem.Value = value; }
}
[Storable]
private IScope scope;
public IScope Scope {
get { return scope; }
}
[Storable]
private IValueParameter initialized;
public bool Initialized {
get { return initialized.Value.Value; }
set { initialized.Value.Value = value; }
}
[Storable]
private IValueParameter random;
public IRandom Random {
get { return random.Value; }
set { random.Value = value; }
}
[Storable]
private IValueParameter evaluatedSolutions;
public int EvaluatedSolutions {
get { return evaluatedSolutions.Value.Value; }
set { evaluatedSolutions.Value.Value = value; }
}
public void IncEvaluatedSolutions(int inc) {
EvaluatedSolutions += inc;
}
[Storable]
private IValueParameter bestQuality;
public double BestQuality {
get { return bestQuality.Value.Value; }
set { bestQuality.Value.Value = value; }
}
[Storable]
private IValueParameter bestSolution;
public TSolution BestSolution {
get { return bestSolution.Value; }
set { bestSolution.Value = value; }
}
[StorableConstructor]
protected HeuristicAlgorithmContext(bool deserializing) : base(deserializing) { }
protected HeuristicAlgorithmContext(HeuristicAlgorithmContext original, Cloner cloner)
: base(original, cloner) {
problem = cloner.Clone(original.problem);
scope = cloner.Clone(original.scope);
initialized = cloner.Clone(original.initialized);
random = cloner.Clone(original.random);
evaluatedSolutions = cloner.Clone(original.evaluatedSolutions);
bestQuality = cloner.Clone(original.bestQuality);
bestSolution = cloner.Clone(original.bestSolution);
}
protected HeuristicAlgorithmContext() : this(new Scope("Scope"), CancellationToken.None) { }
protected HeuristicAlgorithmContext(IScope s, CancellationToken token) {
scope = s;
CancellationToken = token;
Parameters.Add(problem = new ValueParameter("Problem", "The problem that is to be solved."));
Parameters.Add(initialized = new ValueParameter("Initialized", "Whether the algorithm has finished the initialization phase.", new BoolValue(false)));
Parameters.Add(random = new ValueParameter("Random", "The random number generator.", new MersenneTwister()));
Parameters.Add(evaluatedSolutions = new ValueParameter("EvaluatedSolutions", "The number of evaluated solutions.", new IntValue(0)));
Parameters.Add(bestQuality = new ValueParameter("BestQuality", "The best quality found so far.", new DoubleValue(double.NaN)));
Parameters.Add(bestSolution = new OptionalValueParameter("BestSolution", "The best solution found so far."));
}
public IAtomicOperation CreateOperation(IOperator op) {
return new ExecutionContext(parent, op, scope);
}
public IAtomicOperation CreateOperation(IOperator op, IScope s) {
return new ExecutionContext(parent, op, s);
}
public IAtomicOperation CreateChildOperation(IOperator op) {
return new ExecutionContext(this, op, scope);
}
public IAtomicOperation CreateChildOperation(IOperator op, IScope s) {
return new ExecutionContext(this, op, s);
}
}
}