Studierea algoritmului genetic din perspectiva STEAM

Abstract

In this article the authors address some methodological-didactic aspects related to the evolutionary calculation and the study of the Genetic Algorithm from the STEAM perspective. The process of forming chromosome populations is examined in a practical way, as well as the application procedures of genetic operators: selection, crossover and mutation. In the same way, the optimization process of the fitness function and the problem of locating the vertices of a graph on a linear ruler are researched, counting on the improvement of the solution with the qualitative transition from one population to another. The techniques and procedures that can be effectively applied both by biologists and mathematicians and computer scientists to solve the respective problems are highlighted.