Towards a parameterless out-of-the-box population size control for evolutionary and swarm-based algorithms for single objective bound constrained real-parameter numerical optimization.
Marcelo Gomes Pereira de LacerdaHugo de Andrade Amorim NetoTeresa Bernarda LudermirHerbert KuchenFernando Buarque de Lima NetoPublished in: Appl. Soft Comput. (2022)
Keyphrases
- numerical optimization
- population size
- genetic algorithm
- artificial immune system
- test functions
- parameter settings
- mutation rate
- particle swarm optimization
- multi objective
- control system
- artificial bee colony
- optimization algorithm
- computational efficiency
- differential evolution
- optimization methods
- control method
- particle swarm optimization algorithm
- lower bound
- reinforcement learning
- learning algorithm