A Novel Method for Analysing the Population Dynamic Behavior of Particle Swarm Optimization.
Guiping XuGaoyang LiJingqing JiangYuqing LinYanchun LiangHeow Pueh LeeXiaohu ShiChunguo WuPublished in: CSE/EUC (1) (2017)
Keyphrases
- particle swarm optimization
- pairwise
- computational cost
- synthetic data
- detection method
- significant improvement
- data sets
- dynamic programming
- high precision
- dynamic behavior
- classification accuracy
- cost function
- genetic algorithm
- optimization method
- hybrid algorithm
- classification method
- input data
- clustering method
- optimization algorithm
- support vector machine svm
- support vector machine
- experimental evaluation
- computational complexity
- neural network