Surrogate‐based methods for black‐box optimization
Copyright policy )Surrogate‐based methods for black‐box optimization
AbstractIn this paper, we survey methods that are currently used in black‐box optimization, that is, the kind of problems whose objective functions are very expensive to evaluate and no analytical or derivative information is available. We concentrate on a particular family of methods, in which surrogate (or meta) models are iteratively constructed and used to search for global solutions.
- École Polytechnique France
optimal control, black-box functions, Nonlinear programming, simulation optimization, [INFO.INFO-RO]Computer Science [cs]/Operations Research [math.OC], nonlinear programming, Stochastic programming, heuristics, Approximation methods and heuristics in mathematical programming
optimal control, black-box functions, Nonlinear programming, simulation optimization, [INFO.INFO-RO]Computer Science [cs]/Operations Research [math.OC], nonlinear programming, Stochastic programming, heuristics, Approximation methods and heuristics in mathematical programming
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