OneMax

The problem is to maximize the known problem OneMax.

Real solution: 50

Code:


    var cor = new Cormorant();

    // Create and set the genome
    var genome = CreateGenome(cor);
    cor.SetGenome(genome);

    // Set some properties
    cor.SetNumberGenerations(50);
    cor.SetPopulationSize(50);
    cor.SetFitnessFunction(FitnessFunction);
    cor.SetCrossoverType(ECrossoverType.OnePoint);

    // Optional and just for test purpose: set the solution if it is known to get the absolute and relative error
    cor.SetSolution(50);

    // Compute the algorithm
    cor.Compute();

    // Show the report
    Console.WriteLine(cor.GetReport());

    private static Genome CreateGenome(Cormorant cormorant)
    {
        var genome = new Genome();

        // We create 50 genes with values 0 or 1
        for (int i = 0; i < 50; i++)
        {
            var gene = new Gene(
                name: $"{i+1}",
                min: 0,
                max: 2);
            genome.SetGene(gene);
        }

        return genome;
    }

    private static double FitnessFunction(Individual individual)
    {
        var result = individual.Genotype.Genes.Sum(gene => gene.Value);
        return result;
    }

Output:


    ==================================================
    Parameters
    ==================================================
    Population size: 50
    Generations: 50
    Maintain: 15%
    Mutation: 10%
    Fitness type: Maximize
    Crossover type: OnePoint

    ==================================================
    Best individual
    ==================================================
    Fitness: 48
    Genotype:
    - Gene 1, Value: 1
    - Gene 2, Value: 1
    - Gene 3, Value: 1
    - Gene 4, Value: 1
    - Gene 5, Value: 1
    - Gene 6, Value: 1
    - Gene 7, Value: 1
    - Gene 8, Value: 1
    - Gene 9, Value: 1
    - Gene 10, Value: 1
    - Gene 11, Value: 1
    - Gene 12, Value: 1
    - Gene 13, Value: 1
    - Gene 14, Value: 1
    - Gene 15, Value: 1
    - Gene 16, Value: 1
    - Gene 17, Value: 1
    - Gene 18, Value: 0
    - Gene 19, Value: 1
    - Gene 20, Value: 0
    - Gene 21, Value: 1
    - Gene 22, Value: 1
    - Gene 23, Value: 1
    - Gene 24, Value: 1
    - Gene 25, Value: 1
    - Gene 26, Value: 1
    - Gene 27, Value: 1
    - Gene 28, Value: 1
    - Gene 29, Value: 1
    - Gene 30, Value: 1
    - Gene 31, Value: 1
    - Gene 32, Value: 1
    - Gene 33, Value: 1
    - Gene 34, Value: 1
    - Gene 35, Value: 1
    - Gene 36, Value: 1
    - Gene 37, Value: 1
    - Gene 38, Value: 1
    - Gene 39, Value: 1
    - Gene 40, Value: 1
    - Gene 41, Value: 1
    - Gene 42, Value: 1
    - Gene 43, Value: 1
    - Gene 44, Value: 1
    - Gene 45, Value: 1
    - Gene 46, Value: 1
    - Gene 47, Value: 1
    - Gene 48, Value: 1
    - Gene 49, Value: 1
    - Gene 50, Value: 1

    ==================================================
    Errors
    ==================================================
    Absolute error: 2
    Relative error: 4 %