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A Stable Combinatorial Particle Swarm Optimization for Scalable Feature Selection in Gene Expression Data
Evolutionary computation (EC) algorithms, such as discrete and multi-objective versions of particle swarm optimization (PSO), have been applied to solve the Feature selection (FS) problem, tackling the combinatorial explosion of search spaces that are peppered with local minima.
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