An experimental optimization project comparing classical and metaheuristic methods, applying a modified legacy EvoloPy framework to wrapper-based feature selection, and evaluating PSO with stagnation-aware early stopping.
python machine-learning optimization genetic-algorithm jupyter-notebook feature-selection gradient-descent multi-objective-optimization lagrange-multipliers newtons-method early-stopping algorithm-comparison mathematical-optimization metaheuristic-optimisation sckit-learn convergence-analysis grey-wolf-optimizer partical-swarm-optimization wrapper-feature-selection evolopy
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Updated
Aug 1, 2026 - Jupyter Notebook