Statistical learning makes the hybridization of particle swarm and differential evolution more efficient - A novel hybrid optimizer.
Jie ChenBin XinZhihong PengFeng PanPublished in: Sci. China Ser. F Inf. Sci. (2009)
Keyphrases
- differential evolution
- particle swarm
- statistical learning
- optimization algorithm
- particle swarm optimization
- evolutionary algorithm
- optimization method
- hybrid algorithm
- premature convergence
- differential evolution algorithm
- convergence speed
- optimisation problems
- particle swarm optimization pso
- test functions
- particle swarm optimization algorithm
- genetic algorithm
- pso algorithm
- multi objective
- mutation operator
- numerical optimization problems
- supervised learning
- evolution strategy
- information theory
- distribution network
- swarm intelligence
- model selection
- parameter optimization
- binary particle swarm optimization
- data mining
- global optimization
- data sets
- crossover operator
- evolutionary computation
- fitness function
- predator prey
- machine learning
- solving global optimization problems
- information theoretic
- semi supervised learning
- computational intelligence
- high dimensional
- particle swarm optimisation