On the smoothing of the norm objective penalty function for two-cardinality sparse constrained optimization problems.
Min JiangZhiqing MengGengui ZhouRui ShenPublished in: Neurocomputing (2021)
Keyphrases
- constrained optimization problems
- penalty function
- constraint handling
- objective function
- constrained optimization
- penalty functions
- augmented lagrangian
- genetic algorithm
- unconstrained optimization
- equality constraints
- fitness function
- differential evolution
- mixed norm
- optimization problems
- low rank matrices
- high dimensional
- evolutionary algorithm
- particle swarm optimisation
- regularized least squares
- multi objective evolutionary algorithms
- artificial neural networks
- sparse representation
- model selection
- linear programming
- multi objective