/// <summary>
/// Initializes a new optimization run.
/// </summary>
/// <param name="parameters">The parameters to initialize the algorithm with</param>
/// <param name="initialSolution">The solution to initialize the population with</param>
public void InitializeEvolution(GeneticAlgorithmParameters parameters, BitArray initialSolution = null)
{
_populationSize = parameters.PopulationSize;
MaxGeneration = parameters.MaxGeneration;
_dnaLength = parameters.DnaLength;
_temperature = parameters.Temperature;
_annealingFactor = parameters.AnnealingFactor;
_maxMutateClusterSize = parameters.MaxMutateClusterSize;
_initialSolution = initialSolution ?? new BitArray(_dnaLength);
// Make sure there is a valid solution in case _populationSize is 0.
_bestSolution = new Individual(_initialSolution, 0);
_population = CreatePopulation();
GenerationCount = 0;
UpdateBestSolution();
}
/// <summary>
/// Initializes a new optimization run.
/// </summary>
/// <param name="parameters">The parameters to initialize the algorithm with</param>
/// <param name="initialSolution">The solution to initialize the population with</param>
public void InitializeEvolution(GeneticAlgorithmParameters parameters, BitArray initialSolution = null)
{
_populationSize = parameters.PopulationSize;
_dnaLength = parameters.DnaLength;
_temperature = parameters.Temperature;
_initialTemperature = _temperature;
_annealingFactor = parameters.AnnealingFactor;
_maxMutateClusterSize = parameters.MaxMutateClusterSize;
CurrentIteration = 0;
_initialSolution = initialSolution ?? new BitArray(_dnaLength);
// Make sure there is a valid solution in case _populationSize is 0.
_bestSolution = new Individual(_initialSolution, 0);
_population = CreatePopulation();
GenerationCount = 0;
UpdateBestSolution();
}
