#region License Information
/* HeuristicLab
* Copyright (C) 2002-2017 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 HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Problems.GeneralizedQuadraticAssignment.Algorithms.LAHC {
[Item("pLAHC-s Context", "Context for parameterless late-acceptance hill climber with seeding.")]
[StorableClass]
public sealed class PLAHCContext : SingleSolutionContext> {
[Storable]
private IValueParameter problem;
public GQAP Problem {
get { return problem.Value; }
set { problem.Value = value; }
}
[Storable]
private IValueParameter bestSolution;
public GQAPSolution BestSolution {
get { return bestSolution.Value; }
set { bestSolution.Value = value; }
}
[Storable]
private IValueParameter sprintIterations;
public int SprintIterations {
get { return sprintIterations.Value.Value; }
set { sprintIterations.Value.Value = value; }
}
[Storable]
private IValueParameter memory;
public DoubleArray Memory {
get { return memory.Value; }
set { memory.Value = value; }
}
[Storable]
private IValueParameter lastSuccess;
public int LastSuccess {
get { return lastSuccess.Value.Value; }
set { lastSuccess.Value.Value = value; }
}
[Storable]
private IValueParameter> bestList;
public ItemList BestList {
get { return bestList.Value; }
set { bestList.Value = value; }
}
[StorableConstructor]
private PLAHCContext(bool deserializing) : base(deserializing) { }
private PLAHCContext(PLAHCContext original, Cloner cloner)
: base(original, cloner) {
problem = cloner.Clone(original.problem);
bestSolution = cloner.Clone(original.bestSolution);
sprintIterations = cloner.Clone(original.sprintIterations);
memory = cloner.Clone(original.memory);
lastSuccess = cloner.Clone(original.lastSuccess);
bestList = cloner.Clone(original.bestList);
}
public PLAHCContext() {
Parameters.Add(problem = new ValueParameter("Problem"));
Parameters.Add(bestSolution = new ValueParameter("BestFoundSolution"));
Parameters.Add(sprintIterations = new ValueParameter("SprintIterations"));
Parameters.Add(memory = new ValueParameter("Memory"));
Parameters.Add(lastSuccess = new ValueParameter("LastSuccess"));
Parameters.Add(bestList = new ValueParameter>("BestList"));
}
public override IDeepCloneable Clone(Cloner cloner) {
return new PLAHCContext(this, cloner);
}
public ISingleObjectiveSolutionScope ToScope(GQAPSolution code, double fitness = double.NaN) {
var name = Problem.Encoding.Name;
var scope = new SingleObjectiveSolutionScope(code,
name + "Solution", fitness, Problem.Evaluator.QualityParameter.ActualName) {
Parent = Scope
};
scope.Variables.Add(new Variable(name, code.Assignment));
scope.Variables.Add(new Variable("Evaluation", code.Evaluation));
return scope;
}
}
}