A Generic Genetic Algorithm Implemented with C#

Using The Code / A Simple Sample

static void Main(string[] args)

{

    DoubleGenome.DefaultLength = 4;

    DoubleGenome.DefaultFitnessFunction = new DoubleGenomeFitnessFunction_Max();

    DoubleGenome.DefaultMutateRate = 0.05;

 

    GeneticAlgorithm<DoubleGenome> pro = new GeneticAlgorithm<DoubleGenome>();

    pro.CrossoverRate = 0.8;

    pro.PopulationSize = 100;

    pro.GenerationSize = 2000;

    pro.Elitism = true;

    pro.Compute();

 

    DoubleGenome g = pro.GetBestGenome();

    for (int i = 0; i < g.Value.Length; i++)

    {

        Console.WriteLine(g.Value[i]);

    }

}

To solve your problem with this "Generic Genetic Algorithm",
You should first describe your problem by writing your own genome class derived from the abstract class "Genome", implementing abstract methods such as "Crossover", "Mutate", "ComputeFitness", etc.

Sample Project Download:
https://files.cnblogs.com/Dah/Adrian.Algorithm.Genetic.rar

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