No Free Lunch Theorems for Optimization
GPTKB entity
Statements (17)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:mathematical_concept
|
| gptkbp:appliesTo |
search algorithms
optimization algorithms |
| gptkbp:author |
gptkb:William_G._Macready
gptkb:David_H._Wolpert |
| gptkbp:citation |
evolutionary computation literature
machine learning literature |
| gptkbp:field |
gptkb:machine_learning
optimization theory |
| https://www.w3.org/2000/01/rdf-schema#label |
No Free Lunch Theorems for Optimization
|
| gptkbp:influenced |
gptkb:algorithm_selection_theory
metaheuristics research |
| gptkbp:publicationYear |
1997
|
| gptkbp:publishedIn |
gptkb:IEEE_Transactions_on_Evolutionary_Computation
|
| gptkbp:sentence |
No optimization algorithm is superior to others when performance is averaged across all possible problems.
|
| gptkbp:bfsParent |
gptkb:no_free_lunch_theorem
|
| gptkbp:bfsLayer |
5
|