In the context of a real-value coding GA, for example, two parents may be paired together as parents that form two children, an example of which is shown below. Note that the figure below is for demonstration purposes and does not reflect any actual values, significant figures, or demonstrate the crossover probability of 0.75–0.90.

Mutation in real-value coding would be a matter of adding or subtracting a small value to randomly selected population members (Marek Obitko 1998). Just as above, this is not a realistic representation and does not follow the mutation probability of 0.01–0.1.

Other miscellaneous terms are explained below:

Multiple storms calibration is a way of quantifying a chromosome's strength by comparing its correlation with real-world storms. Stronger correlations means a stronger chromosome.
Binary tournament selection means that pairs of chromosomes are put in a tournament, with the stronger of the pair being selected for crossover and mutation (Riyad Parvez 2014).