A particle swarm optimizer with dynamic balance of convergence and diversity for large-scale optimization.
Dongyang LiLei WangWeian GuoMaoqing ZhangBo HuQidi WuPublished in: Appl. Soft Comput. (2023)
Keyphrases
- particle swarm optimizer
- particle swarm optimization
- adaptive strategies
- dynamically adjust
- global convergence
- optimization problems
- population diversity
- global optimization
- multi swarm
- optimization algorithm
- dynamic optimization
- faster convergence
- small scale
- particle swarm
- evolutionary multiobjective
- dynamic environments
- optimization model
- quasi newton
- optimization process
- multi objective evolutionary algorithms
- data sets
- convergence speed
- convergence rate
- optimization method
- active learning
- evolutionary algorithm
- real life
- neural network