Using archiving methods to control convergence and diversity for Many-Objective Problems in Particle Swarm Optimization.
Andre BrittoAurora T. R. PozoPublished in: IEEE Congress on Evolutionary Computation (2012)
Keyphrases
- particle swarm optimization
- control problems
- significant improvement
- practical problems
- benchmark datasets
- computational cost
- iterative methods
- optimization problems
- multi objective evolutionary algorithms
- data sets
- convergence rate
- methods can be applied
- larger problems
- population diversity
- problems in computer vision
- difficult problems
- alternative methods
- optimization methods
- search methods
- power system
- mobile robot
- search algorithm
- face recognition
- neural network