On the use of stochastic ranking for parent selection in differential evolution for constrained optimization.
Gregorio Toscano PulidoRicardo Landa BecerraGiomara LárragaGuillermo LeguizamónPublished in: Soft Comput. (2017)
Keyphrases
- differential evolution
- constrained optimization
- constrained optimization problems
- constraint handling
- evolutionary algorithm
- evolutionary strategy
- selection operator
- particle swarm optimization
- optimization algorithm
- convergence speed
- differential evolution algorithm
- optimization method
- penalty function
- mutation operator
- evolution strategy
- particle swarm optimization pso
- objective function
- test functions
- parameter optimization
- premature convergence
- numerical optimization problems
- global optimization problems
- particle swarm
- genetic algorithm
- hybrid algorithm
- solving global optimization problems
- multi objective optimization
- unconstrained optimization
- direct search
- multi objective
- optimization problems
- crossover operator
- evolutionary computation
- pso algorithm
- feature selection
- neural network
- parameter estimation
- least squares
- global optimization
- artificial neural networks
- particle swarm optimization algorithm