Generalized Net Models of Crossover Operators in Genetic Algorithms

The apparatus of Generalized nets (GN) is here applied to a description of different techniques of crossover, which is one of the basic genetic algorithm operators. Presented here are GN models which describe three crossover techniques, namely one-point, two-point crossover as well as the “cut and splice” technique. The resulting GN models can be considered as separate modules, but they can also be accumulated into a GN model to describe a whole genetic algorithm.