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Feature Selection using PSO and GA Algorithms
Metaheuristics for dimensionality reduction.
RoleResearcher and Executer
Year2024
RepositoryAmerAlreyahi/Feature-Selection-Using-PSO-GA-Algorithms
A comparative implementation of Particle Swarm Optimisation and Genetic Algorithms applied to feature selection on high-dimensional datasets.
The problem
Exhaustive feature search is combinatorially impossible; metaheuristics trade guaranteed optimality for tractable, near-optimal subsets.
The approach
- 01
Implemented PSO and GA search over the feature space with a shared fitness interface.
- 02
Benchmarked selected subsets against baseline classifier performance.