Genetic Algorithm and Simulated Anealling

Theme: Performance Comparison between Genetic Algorithms and Simulated Anealling

The genetic operators used were mutation and crossover.
The Genetic Algorithm was performed to solve a minimization problem of a given function. The method of selection used was the tournament.
Simulated Annealing was used to solve the same problem and a comparison on the number of iterations and performance was done with the Genetic Algorithm implementation.

Note: The report is written in Portuguese, however if you need any clarification, feel free to contact me.

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GrupoC_GA_standard.ipynb		GrupoC_GA_standard.ipynb
GrupoC_Relatório.pdf		GrupoC_Relatório.pdf
README.md		README.md