Chaotic gravitational constants for the gravitational search algorithm.
Seyedali MirjaliliAmir Hossein GandomiPublished in: Appl. Soft Comput. (2017)
Keyphrases
- gravitational search algorithm
- stability analysis
- multi objective
- swarm intelligence
- parameter identification
- convergence rate
- optimization methods
- chaotic systems
- multi objective optimization problems
- optimization algorithm
- nonlinear systems
- test functions
- multi objective optimization
- evolutionary algorithm
- mutation operator
- genetic algorithm
- evolutionary computation
- computational intelligence
- differential evolution
- learning rate
- convergence speed
- machine learning
- straight forward
- particle swarm optimization
- closed loop