Multi-objective optimization algorithm based on clustering guided binary equilibrium optimizer and NSGA-III to solve high-dimensional feature selection problem.
Min ZhangJie-Sheng WangYu LiuHao-Ming SongJia-Ning HouYu-Cai WangMin WangPublished in: Inf. Sci. (2023)
Keyphrases
- optimization algorithm
- multi objective
- high dimensional
- evolutionary algorithm
- multi objective optimization
- differential evolution
- particle swarm optimization
- data points
- multiobjective optimization
- optimization method
- clustering method
- high dimensionality
- clustering algorithm
- objective function
- evolutionary multi objective
- genetic algorithm
- k means
- optimization strategy
- low dimensional
- multiple objectives
- high dimensional data
- pareto optimal
- particle swarm optimization pso
- multi objective optimization problems
- honey bee
- nsga ii
- control parameters
- dimensionality reduction
- particle swarm optimisation
- global optima
- game theory
- pso algorithm
- bi objective
- multi objective evolutionary algorithms
- artificial bee colony
- pareto optimal solutions
- hybrid optimization algorithm