Add to ORKGThis expository article discusses approaches for modeling optimization problems that involve uncertainty. The emphasis of the paper is on motivation and intuition rather than technical completeness. By virtue of its length, the paper is inevitably incomplete, and the reader is advised to look at other papers in this encyclopedia to explore the richness of modelin
Many combinatorial optimization problems arising in real-world applications do not have accurate est...
Optimization is of central concern to a number of discip lines. Operations Research and Decision Th...
Jin Y, Branke J. Evolutionary Optimization in Uncertain Environments—A Survey. IEEE Transactions on ...
International audienceOptimization under uncertainty is a key problem in order to solve complex syst...
• Optimization models for real-world applications are expected to generate “robust ” decisions in th...
This paper provides a brief review of some aspects of optimization in the presence of uncertainty
In particular in the last decade, optimization under uncertainty has engaged attention in the mathem...
We investigate a constrained optimization problem for which there is uncertainty about a constraint ...
Recent advances in decision making have incorporated both risk and ambiguity in decision theory and ...
We investigate a constrained optimization problem for which there is uncertainty about a constraint ...
Most optimization problems in real life do not have accurate estimates of the prob-lem parameters at...
International audienceThis paper proposes a guide to help designer to formulate the optimization und...
Abstract Uncertainty is often present in environmental and energy economics. Tra-ditional approaches...
The importance of designing airfoils to be robust with respect to uncertainties in operating conditi...
This paper briefly describes three well-established frameworks for handling uncertainty in optimizat...
Many combinatorial optimization problems arising in real-world applications do not have accurate est...
Optimization is of central concern to a number of discip lines. Operations Research and Decision Th...
Jin Y, Branke J. Evolutionary Optimization in Uncertain Environments—A Survey. IEEE Transactions on ...
International audienceOptimization under uncertainty is a key problem in order to solve complex syst...
• Optimization models for real-world applications are expected to generate “robust ” decisions in th...
This paper provides a brief review of some aspects of optimization in the presence of uncertainty
In particular in the last decade, optimization under uncertainty has engaged attention in the mathem...
We investigate a constrained optimization problem for which there is uncertainty about a constraint ...
Recent advances in decision making have incorporated both risk and ambiguity in decision theory and ...
We investigate a constrained optimization problem for which there is uncertainty about a constraint ...
Most optimization problems in real life do not have accurate estimates of the prob-lem parameters at...
International audienceThis paper proposes a guide to help designer to formulate the optimization und...
Abstract Uncertainty is often present in environmental and energy economics. Tra-ditional approaches...
The importance of designing airfoils to be robust with respect to uncertainties in operating conditi...
This paper briefly describes three well-established frameworks for handling uncertainty in optimizat...
Many combinatorial optimization problems arising in real-world applications do not have accurate est...
Optimization is of central concern to a number of discip lines. Operations Research and Decision Th...
Jin Y, Branke J. Evolutionary Optimization in Uncertain Environments—A Survey. IEEE Transactions on ...