A Two-Level Kriging-Based Approach with Active Learning for Solving Time-Variant Risk Optimization Problems.
Henrique M. KroetzM. MoustaphaAndré Teófilo BeckBruno SudretPublished in: Reliab. Eng. Syst. Saf. (2020)
Keyphrases
- active learning
- optimization problems
- combinatorial optimization
- nonlinear programming
- evolutionary algorithm
- cost function
- continuous optimization problems
- discrete optimization problems
- constrained problems
- traveling salesman problem
- objective function
- black box
- metaheuristic
- learning strategies
- optimization methods
- high risk
- random sampling
- risk analysis
- convex optimization problems
- semi supervised
- expected loss
- active learning strategies
- data sets
- subgradient method
- risk factors
- risk assessment
- training examples
- labeled data
- relevance feedback
- search space
- lower bound
- decision making
- learning algorithm
- neural network