Abstract
As we had already seen that genetic algorithms (GAs) are smart in their working. Here, the authors explore the rich working of genetic algorithms (GAs) in various diversified fields. Until now, they had discussed the historical nature of genetic algorithms (GAs). They have also discussed the programming code to run simple genetic algorithms (SGA). Lastly, they are going to take an overview of the application of genetic algorithms (GAs) in various fields (i.e., from business to non-business). Already, they have discussed the robust working of genetic algorithms (GAs) in various adverse conditions. Here, they discuss the application of genetic algorithms (GAs) in various other diversified fields.
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