Development of genetic algorithms from inter/transdisciplinary perspectives

Abstract

The theoretical-practical foundations of Genetic Algorithms, which are built on the principle of "survival of the fittest", enunciated by Charles Darwin, are dealt with in this paper. The paper describes the basic characteristics of the genetic algorithm, highlighting its advantages and disadvantages. Genetic algorithm problems are examined. The Genetic Algorithm is examined from the perspective of examining problems in which finding the optimal solution is not simple or at least inefficient due to the characteristics of the probabilistic search. The steps are shown in which Genetic Algorithms encode a possible solution to a specific problem in a single data structure called a "chromosome" and set the stage for applying genetic operators to these structures in order to maintain critical information.