GitHub - carolinarutililima/GA: This assignment approaches the Genetic Algorithm performance from two benchmark functions, quadratic and Ackley. Moreover, it will be presented a performance and comparison changing some parameters in the genetic algorithm. Genetic Algorithms are used to find approximate solutions to search and optimization problems. Furthermore, this kind of algorithm is inspired by Charles Darwin's theory of natural evolution, i.e., this algorithm reflects the process of natural selection where the fittest individuals are selected for reproduction to produce offspring of the next generation.

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Name		Name	Last commit message	Last commit date
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ackley.py		ackley.py
ga.py		ga.py
quadr.py		quadr.py

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This assignment approaches the Genetic Algorithm performance from two benchmark functions, quadratic and Ackley. Moreover, it will be presented a performance and comparison changing some parameters in the genetic algorithm. Genetic Algorithms are used to find approximate solutions to search and optimization problems. Furthermore, this kind of al…