Collection of experiments related to swarm intelligence
rosenbrock function optimization with four different methods (unconstrained optimization)
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).
Particle Swarm Optimisation in the N-dimensional space
Minimize rosenbrock function - differential evolution.
Rosenbrock function done prallel in C.
A study of genetic algorithms and differential evolution optimization algorithms applied on the Rosenbrock function
MATLAB Numerical Optimization Methods
Solutions for Labs of Nature Inspired Computing course offered at Innopolis University
A pure NumPy implementation of Gradient Descent optimization, verified against Google JAX's automatic differentiation and benchmarked on the Rosenbrock function
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