Reconsidering the Selection Concept of Genetic Algorithms from a Population Genetics Inspired Point of View

In this paper we propose some generic extensions to the general selection concept of a Genetic Algorithm (GA). These bionically inspired interrelated further developments aim to make the algorithm more open for scalability on the one hand, and to stabilize the performance of weaker crossover operators on the other hand without necessitating the development of new coding standards and operators for certain problems. Furthermore, the underlying Genetic Algorithm is unrestrictedly included in all of the newly proposed hybrid variants under especial settings.