A Surrogate-Assisted Evolutionary Algorithm with Random Feature Selection for Large-Scale Expensive Problems.
Guoxia FuChaoli SunYing TanGuochen ZhangYaochu JinPublished in: PPSN (1) (2020)
Keyphrases
- evolutionary algorithm
- feature selection
- optimization problems
- real life
- problems involving
- real world
- neural network
- solving problems
- feature set
- fitness function
- high dimensionality
- discriminative features
- small scale
- error prone
- computationally expensive
- metaheuristic
- text categorization
- multi objective
- machine learning