SimpleSum

The problem is to maximize the following function of variables x and y:


    f = x + y

In addition, x and y must be between 0 and 500.

Real solution: 1000

Code:


    var cor = new Cormorant();

    // Create genes
    var genA = new Gene("A", 0d, 500d);
    var genB = new Gene("B", 0d, 500d);

    // Create the genome and set the genes and the genome
    var genome = new Genome();
    genome.SetGene(genA);
    genome.SetGene(genB);
    cor.SetGenome(genome);

    // Set some properties
    cor.SetFitnessFunction(FitnessFunction);
    cor.SetCrossoverType(ECrossoverType.OnePoint);
    cor.SetMutation(10);

    // Optional and just for test purpose: set the solution if it is known to get the absolute and relative error
    cor.SetSolution(1000);

    // Compute the algorithm
    cor.Compute();

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

    private static double FitnessFunction(Individual individual)
    {
        var geneA = individual.Genotype.GetGeneByName("A");
        var geneB = individual.Genotype.GetGeneByName("B");

        return geneA.Value + geneB.Value;
    }

Output:


    ==================================================
    Parameters
    ==================================================
    Population size: 50
    Generations: 25
    Maintain: 15%
    Mutation: 10%
    Fitness type: Maximize
    Crossover type: OnePoint

    ==================================================
    Best individual by generation
    ==================================================
    Generation 0:   * 965,8679802217329
    Generation 1:   ********** 974,9898032624305
    Generation 2:   ********** 974,9898032624305
    Generation 3:   ********** 974,9898032624305
    Generation 4:   ********** 974,9898032624305
    Generation 5:   ********** 974,9898032624305
    Generation 6:   ********** 974,9898032624305
    Generation 7:   ********** 974,9898032624305
    Generation 8:   ********** 974,9898032624305
    Generation 9:   ********** 974,9898032624305
    Generation 10:  ********** 974,9898032624305
    Generation 11:  ********** 974,9898032624305
    Generation 12:  ********** 974,9898032624305
    Generation 13:  ********** 974,9898032624305
    Generation 14:  ********** 974,9898032624305
    Generation 15:  ********** 974,9898032624305
    Generation 16:  ********** 974,9898032624305
    Generation 17:  ********** 974,9898032624305
    Generation 18:  ************************** 991,6308586661528
    Generation 19:  ************************** 991,6308586661528
    Generation 20:  ************************** 991,6308586661528
    Generation 21:  ************************** 991,6308586661528
    Generation 22:  ************************** 991,6308586661528
    Generation 23:  ************************** 991,6308586661528
    Generation 24:  ************************** 991,6308586661528
    Generation 25:  ************************** 991,6308586661528

    ==================================================
    Best individual
    ==================================================
    Fitness: 991,6308586661528
    Genotype:
    - Gene A, Value: 493,7099002815823
    - Gene B, Value: 497,92095838457055

    ==================================================
    Errors
    ==================================================
    Absolute error: 8,36914133384721
    Relative error: 0,836914133384721 %