Generating extrema approximation of analytically incomputable functions through usage of parallel computer aided genetic algorithms

Genetic algorithm (GA) is a type of algorithm inspired by the evolution of living organisms in the nature. It belongs to evolution algorithms whose idea was started by John Henry Holland, the American engineer and scientist. GA in a specific way searches in the area of solutions of a problem to find the best solution. The algorithm defines environment in which a specific population of specimens being possible solutions of the problem exists. Next, similarly to organisms in the nature, the specimens are crossbred, mutated and selection of the best solutions based on the value of adaptation function occurs. Ideas of genetic algorithm were presented in Figure 1. Figure 1.