Fifth assignment for Machine Learning course @USI19/20.
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).
Comparative Study on Differential Evolution and Genetic Algorithms applied to minimization of Rastrigin and Rosenbrock Functions
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.
Repozytorium z przedmiotu "Optymalizacja Globalna".
Visualization of a genetic algorithm applied to the 2D Rastrigin function. Inspired by the book "Neuroevolution: Harnessing Creativity in AI Agent Design"
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