An efficient constrained global optimization algorithm with a clustering-assisted multiobjective infill criterion using Gaussian process regression for expensive problems.
Puyu JiangYuansheng ChengJiaxiang YiJun LiuPublished in: Inf. Sci. (2021)
Keyphrases
- optimization algorithm
- multi objective
- gaussian process regression
- evolutionary algorithm
- multi objective optimization
- optimization method
- objective function
- differential evolution
- particle swarm optimization
- artificial bee colony
- particle swarm optimization pso
- nsga ii
- optimization problems
- multiobjective optimization
- clustering algorithm
- gaussian process
- data mining tasks
- evolutionary multi objective
- pareto optimal
- machine learning
- gaussian processes
- genetic algorithm
- particle swarm
- multiple objectives
- bi objective
- multi objective evolutionary algorithms
- benchmark problems
- feature selection