/// <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; }