/// <summary>
        /// Initializes a new instance of the <see cref="DoubleArrayChromosome"/> class.
        /// </summary>
        ///
        /// <param name="source">Source chromosome to copy.</param>
        ///
        /// <remarks><para>This is a copy constructor, which creates the exact copy
        /// of specified chromosome.</para></remarks>
        ///
        public StockTraderChromosome(StockTraderChromosome source)
        {
            //this.chromosomeGenerator = source.chromosomeGenerator;
            this.mutationMultiplierGenerator = source.mutationMultiplierGenerator;
            this.mutationAdditionGenerator   = source.mutationAdditionGenerator;
            this.length            = source.length;
            this.fitness           = source.fitness;
            this.mutationBalancer  = source.mutationBalancer;
            this.crossoverBalancer = source.crossoverBalancer;

            // copy genes
            val = (double[])source.val.Clone( );
        }
        /// <summary>
        /// Crossover operator.
        /// </summary>
        ///
        /// <param name="pair">Pair chromosome to crossover with.</param>
        ///
        /// <remarks><para>The method performs crossover between two chromosomes, selecting
        /// randomly the exact type of crossover to perform, which depends on <see cref="CrossoverBalancer"/>.
        /// Before crossover is done a random number is generated in [0, 1] range - if the
        /// random number is smaller than <see cref="CrossoverBalancer"/>, then the first crossover
        /// type is used, otherwise second type is used.</para>
        ///
        /// <para>The <b>first crossover type</b> is based on interchanging
        /// range of genes (array elements) between these chromosomes and is known
        /// as one point crossover. A crossover point is selected randomly and chromosomes
        /// interchange genes, which start from the selected point.</para>
        ///
        /// <para>The <b>second crossover type</b> is aimed to produce one child, which genes'
        /// values are between corresponding genes of parents, and another child, which genes'
        /// values are outside of the range formed by corresponding genes of parents.
        /// Let take, for example, two genes with 1.0 and 3.0 valueû (of course chromosomes have
        /// more genes, but for simplicity lets think about one). First of all we randomly choose
        /// a factor in the [0, 1] range, let's take 0.4. Then, for each pair of genes (we have
        /// one pair) we calculate difference value, which is 2.0 in our case. In the result we’ll
        /// have two children – one between and one outside of the range formed by parents genes' values.
        /// We may have 1.8 and 3.8 children, or we may have 0.2 and 2.2 children. As we can see
        /// we add/subtract (chosen randomly) <i>difference * factor</i>. So, this gives us exploration
        /// in between and in near outside. The randomly chosen factor is applied to all genes
        /// of the chromosomes participating in crossover.</para>
        /// </remarks>
        ///
        public override void Crossover(IChromosome pair)
        {
            StockTraderChromosome p = (StockTraderChromosome)pair;

            // check for correct pair
            if ((p != null) && (p.length == length))
            {
                if (rand.NextDouble( ) < crossoverBalancer)
                {
                    // crossover point
                    int crossOverPoint = rand.Next(length - 1) + 1;
                    // length of chromosome to be crossed
                    int crossOverLength = length - crossOverPoint;
                    // temporary array
                    double[] temp = new double[crossOverLength];

                    // copy part of first (this) chromosome to temp
                    Array.Copy(val, crossOverPoint, temp, 0, crossOverLength);
                    // copy part of second (pair) chromosome to the first
                    Array.Copy(p.val, crossOverPoint, val, crossOverPoint, crossOverLength);
                    // copy temp to the second
                    Array.Copy(temp, 0, p.val, crossOverPoint, crossOverLength);
                    //custom range checking
                    //for (int i = 0; i < length; i++)
                    //{
                    //    val[i] = CheckValueRange(val[i], i);
                    //}
                }
                //else
                //{
                //    double[] pairVal = p.val;

                //    double factor = rand.NextDouble( );
                //    if ( rand.Next( 2 ) == 0 )
                //        factor = -factor;

                //    for ( int i = 0; i < length; i++ )
                //    {
                //        double portion = ( val[i] - pairVal[i] ) * factor;

                //        val[i] -= portion;
                //        pairVal[i] += portion;
                //    }
                //}
            }
        }