#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.Collections.Generic;
using System.Threading;
using HeuristicLab.Algorithms.MemPR.Binary;
using HeuristicLab.Algorithms.MemPR.Grouping;
using HeuristicLab.Algorithms.MemPR.Permutation;
using HeuristicLab.Analysis.FitnessLandscape;
using HeuristicLab.Core;
using HeuristicLab.Encodings.BinaryVectorEncoding;
using HeuristicLab.Optimization;
namespace HeuristicLab.Algorithms.MemPR.Interfaces {
/*************************************************
* ********************************************* *
* DATA *
* ********************************************* *
*************************************************/
public interface ISolutionSubspace : IItem { }
/*************************************************
* ********************************************* *
* OPERATORS *
* ********************************************* *
*************************************************/
public interface ISolutionModelTrainer : IItem {
bool Bias { get; }
void TrainModel(TContext context);
}
public interface ILocalSearch : IItem {
void Optimize(TContext context);
}
/*************************************************
* ********************************************* *
* CONTEXTS *
* ********************************************* *
*************************************************/
public interface IHeuristicAlgorithmContext : IExecutionContext
where TProblem : class, ISingleObjectiveHeuristicOptimizationProblem {
TProblem Problem { get; }
bool Maximization { get; }
IRandom Random { get; }
int Iterations { get; set; }
int EvaluatedSolutions { get; }
void IncrementEvaluatedSolutions(int byEvaluations);
double BestQuality { get; set; }
TSolution BestSolution { get; set; }
}
public interface ILocalSearchPathContext : IExecutionContext where TSolution : class, IItem {
DirectedPath LocalSearchPaths { get; }
}
public interface IEvaluationServiceContext : IExecutionContext {
double Evaluate(TSolution solution, CancellationToken token);
void Evaluate(ISingleObjectiveSolutionScope scope, CancellationToken token);
}
public interface IPopulationBasedHeuristicAlgorithmContext : IHeuristicAlgorithmContext
where TProblem : class, ISingleObjectiveHeuristicOptimizationProblem {
IEnumerable> Population { get; }
int PopulationCount { get; }
}
public interface ISingleSolutionHeuristicAlgorithmContext : IHeuristicAlgorithmContext
where TProblem : class, ISingleObjectiveHeuristicOptimizationProblem {
ISingleObjectiveSolutionScope Solution { get; }
}
public interface ISolutionModelContext : IExecutionContext {
ISolutionModel Model { get; set; }
}
public interface ISolutionSubspaceContext : IExecutionContext {
ISolutionSubspace Subspace { get; }
}
public interface IBinaryVectorSubspaceContext : ISolutionSubspaceContext {
new BinarySolutionSubspace Subspace { get; }
}
public interface IPermutationSubspaceContext : ISolutionSubspaceContext {
new PermutationSolutionSubspace Subspace { get; }
}
public interface ILinearLinkageSubspaceContext : ISolutionSubspaceContext {
new LinearLinkageSolutionSubspace Subspace { get; }
}
/*************************************************
* ********************************************* *
* SCOPES *
* ********************************************* *
*************************************************/
public interface ISingleObjectiveSolutionScope : IScope {
TSolution Solution { get; set; }
double Fitness { get; set; }
void Adopt(ISingleObjectiveSolutionScope orphan);
}
}