The Genetic Algorithm (GA) : Selection + Crossover + Mutation + Elitism

This is the implementation of the original version of the genetic algorithm

This submission includes the main components of the Genetic Algorithm (GA) including Selection + Crossover + Mutation + Elitism. There are functions for each and the GA has been developed as a function as well. Of course, it is the discrete (binary) version of the GA algorithm since all the genes can be assigned with either 0 or 1.
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