#region License Information
/* HeuristicLab
* Copyright (C) 2002-2012 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 HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Encodings.ParameterConfigurationEncoding {
[StorableClass]
public class IntValueRange : Range {
#region Constructors and Cloning
[StorableConstructor]
protected IntValueRange(bool deserializing) : base(deserializing) { }
protected IntValueRange(IntValueRange original, Cloner cloner) : base(original, cloner) { }
public IntValueRange(IntValue lowerBound, IntValue upperBound, IntValue stepSize) : base(lowerBound, upperBound, stepSize) { }
public override IDeepCloneable Clone(Cloner cloner) {
return new IntValueRange(this, cloner);
}
#endregion
protected override IntValue GetRandomSample(IRandom random) {
int val;
do {
val = random.Next(LowerBound.Value / StepSize.Value, UpperBound.Value / StepSize.Value + 1) * StepSize.Value;
} while (!IsInRange(val));
return new IntValue(val);
}
public int ApplyStepSize(int value) {
return ((int)Math.Round(value / (double)this.StepSize.Value, 0)) * this.StepSize.Value;
}
public bool IsInRange(int value) {
return value <= this.UpperBound.Value && value >= this.LowerBound.Value;
}
public override IEnumerable GetCombinations() {
var solutions = new List();
int value = this.LowerBound.Value;
while (value <= this.UpperBound.Value) {
solutions.Add(new IntValue(value));
value += this.StepSize.Value;
}
return solutions;
}
protected override double CalculateSimilarityValue(IntValue a, IntValue b) {
double range = UpperBound.Value - LowerBound.Value;
double diff = Math.Abs(a.Value - b.Value);
return Math.Max(0, (range - (diff * 2)) / range);
}
}
}