Variable-sized uncertainty and inverse problems in robust optimization.
André B. ChasseinMarc GoerigkPublished in: Eur. J. Oper. Res. (2018)
Keyphrases
- robust optimization
- inverse problems
- variable sized
- image reconstruction
- chance constrained
- global optimization
- convex optimization
- mathematical programming
- optimization methods
- stochastic programming
- risk measures
- optimization problems
- decision theory
- lot sizing
- semidefinite programming
- early vision
- smoothness constraint
- partial differential equations
- neural network
- chance constraints
- simulated annealing
- evolutionary algorithm
- image segmentation