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Genetic Algorithms in Elixir

Adding Mutation to our Genetic Algorithm

Explore how to add mutation to your genetic algorithm in Elixir to prevent premature convergence and maintain genetic diversity. Understand the importance of mutation in improving algorithm performance and ensuring more effective solutions to complex problems.

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Including the mutation step

Despite initializing your population to a seemingly random distribution, eventually, the parents became too genetically similar to make any improvements during the crossover process. This illustrates the importance of including the mutation step in our algorithm and how vital exploration is to informed search techniques.

After the crossover function in the algorithm, add the following:

|> mutation.()

Now, the structure of the algorithm looks ...