A performance approximation assisted expensive many-objective evolutionary algorithm.
Hao WangChaoli SunGang XieXiao-Zhi GaoFarooq AkhtarPublished in: Inf. Sci. (2023)
Keyphrases
- evolutionary algorithm
- multi objective
- optimization problems
- evolutionary computation
- multi objective optimization
- differential evolution
- multiple objectives
- fitness function
- simulated annealing
- function optimization
- mutation operator
- closed form
- genetic algorithm
- data sets
- genetic programming
- artificial intelligence
- error bounds
- error prone
- approximation algorithms
- computationally intensive
- cauchy mutation
- approximation error
- computationally expensive
- machine learning