Comparative Study on Differential Evolution and Genetic Algorithms applied to minimization of Rastrigin and Rosenbrock Functions
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Updated
Oct 19, 2022 - Python
Comparative Study on Differential Evolution and Genetic Algorithms applied to minimization of Rastrigin and Rosenbrock Functions
A set of Jupyter notebooks that investigate and compare the performance of several numerical optimization techniques, both unconstrained (univariate search, Powell's method and Gradient Descent (fixed step and optimal step)) and constrained (Exterior Penalty method).
A Report I will be discussing how I modified a Genetic Algorithms and Particle swarm optimization algorithm to find an optimal value for the Rastringin function.
Fifth assignment for Machine Learning course @USI19/20.
Repozytorium z przedmiotu "Optymalizacja Globalna".
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