DFO (Derivative-Free Optimization)
GPTKB entity
Statements (48)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
optimization method
|
| gptkbp:alsoKnownAs |
derivative-free optimization
black-box optimization |
| gptkbp:appliesTo |
continuous optimization
discrete optimization mixed-integer optimization |
| gptkbp:compatibleWith |
gradient information
Hessian information |
| gptkbp:hasApplication |
aerospace engineering
biomedical engineering control systems design of experiments finance logistics operations research robotics hyperparameter tuning energy systems environmental modeling parameter estimation scheduling supply chain optimization system identification simulation-based optimization structural optimization calibration of models chemical process optimization |
| https://www.w3.org/2000/01/rdf-schema#label |
DFO (Derivative-Free Optimization)
|
| gptkbp:limitation |
may require many function evaluations
may be less efficient for smooth problems |
| gptkbp:method |
gptkb:simulated_annealing
gptkb:Nelder-Mead_method gptkb:genetic_algorithms Bayesian optimization pattern search CMA-ES |
| gptkbp:relatedTo |
stochastic optimization
global optimization metaheuristics |
| gptkbp:used_in |
derivatives are expensive to compute
derivatives are unavailable objective function is noisy objective function is non-smooth |
| gptkbp:usedIn |
gptkb:machine_learning
mathematical optimization engineering design |
| gptkbp:bfsParent |
gptkb:NEWUOA_algorithm
|
| gptkbp:bfsLayer |
8
|