Sparse optimization using a mixed GA-PSO optimization framework
Ruijun Dong, Witold Pedrycz · 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery · 2010
Evolutionary optimizers (EOs) have assumed a visible position as important problem solvers because of their flexibility, versatility, and ability to optimize in complex multimodal search spaces. This paper discusses a problem of sparse optimization with a special emphasis placed on mixed genetic algorithm-particle swarm optimization (GA-PSO) techniques.