Analysis of multi-objective Kriging-based methods for constrained global optimization.
Cédric DurantinJulien MarzatMathieu BalesdentPublished in: Comput. Optim. Appl. (2016)
Keyphrases
- multi objective
- significant improvement
- empirical studies
- machine learning
- multi objective optimization
- data sets
- machine learning methods
- black box
- dynamic programming
- constrained global optimization
- multi objective optimization problems
- complexity analysis
- qualitative and quantitative
- preprocessing
- data analysis
- decision making
- neural network