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Genetic Algorithm #16

@gayatrip7

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@gayatrip7
  • Assume an input of an array of random binary digits.
  • Invoke a genetic algorithm upon it including the processes of crossing over and mutation, using a fitness function (preferably Shannon entropy) to select elements to be preferred in the next generation. Libraries such as pygad (https://pypi.org/project/pygad/) may be used for this purpose.
  • A certain number of generations should be implemented, the output of which should be in the same form as the initial input.

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