/// <summary>
/// Initializes a new instance of the genetic algorithm optimizer.
/// </summary>
/// <param name="solutionFitness">A delegate to the fitness function.</param>
/// <param name="random">An optional Random instance to allow for seeding.
/// If none is provided, a newly created one is used.</param>
public GeneticAnnealingAlgorithm(SolutionFitnessFunction solutionFitness, Random random = null)
{
// Save the fitness function
this.solutionFitness = solutionFitness;
if (random == null) this.random = new Random();
else this.random = random;
}
/// <summary>
/// Initializes a new instance of the genetic algorithm optimizer.
/// </summary>
/// <param name="solutionFitness">A delegate to the fitness function.</param>
/// <param name="random">An optional Random instance to allow for seeding.
/// If none is provided, a newly created one is used.</param>
public GeneticAnnealingAlgorithm(SolutionFitnessFunction solutionFitness, Random random = null)
{
// Save the fitness function
this.solutionFitness = solutionFitness;
if (random == null)
{
this.random = new Random();
}
else
{
this.random = random;
}
}
/// <summary>
/// Initializes a new instance of the genetic algorithm optimizer.
/// </summary>
/// <param name="solutionFitness">A delegate to the fitness function.
/// Because of parallelization the fitness function must be thread safe</param>
public GeneticAlgorithm(SolutionFitnessFunction solutionFitness)
{
// Save the fitness function
_solutionFitness = solutionFitness;
}
/// <summary>
/// Initializes a new instance of the genetic algorithm optimizer.
/// </summary>
/// <param name="solutionFitness">A delegate to the fitness function.
/// Because of parallelization the fitness function must be thread safe</param>
#pragma warning disable CS8618 // Initialized in InitializeEvolution
public GeneticAlgorithm(SolutionFitnessFunction solutionFitness)
#pragma warning restore
{
// Save the fitness function
_solutionFitness = solutionFitness;
}
/// <summary>
/// Initializes a new instance of the genetic algorithm optimizer.
/// </summary>
/// <param name="solutionFitness">A delegate to the fitness function.
/// Because of parallelization the fitness function must be thread safe</param>
public GeneticAlgorithm(SolutionFitnessFunction solutionFitness)
{
// Save the fitness function
_solutionFitness = solutionFitness;
}