Matches in SemOpenAlex for { <https://semopenalex.org/work/W3208659968> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W3208659968 abstract "Finding global optima in high-dimensional optimization problems is extremely challenging since the number of function evaluations required to sufficiently explore the design space increases exponentially with its dimensionality. Furthermore, non-convex cost functions render local gradient-based search techniques ineffective. To overcome these difficulties, here we demonstrate the use of machine learning to find global minima, whereby autoencoders are used to drastically reduce the search space dimensionality, and optima are found by surveying the lower-dimensional latent spaces. The methodology is tested on benchmark functions and on a structural optimization problem, where we show that by exploiting the behavior of certain cost functions we either obtain the global optimum at best or obtain superior results at worst when compared to established optimization procedures." @default.
- W3208659968 created "2021-11-08" @default.
- W3208659968 creator A5062132827 @default.
- W3208659968 creator A5067455650 @default.
- W3208659968 date "2021-10-28" @default.
- W3208659968 modified "2023-09-27" @default.
- W3208659968 title "Fighting the curse of dimensionality: A machine learning approach to finding global optima" @default.
- W3208659968 cites W1575923498 @default.
- W3208659968 cites W1959608418 @default.
- W3208659968 cites W2097571405 @default.
- W3208659968 cites W2148948822 @default.
- W3208659968 cites W2269675680 @default.
- W3208659968 cites W2273396394 @default.
- W3208659968 cites W2788908630 @default.
- W3208659968 cites W2804990541 @default.
- W3208659968 hasPublicationYear "2021" @default.
- W3208659968 type Work @default.
- W3208659968 sameAs 3208659968 @default.
- W3208659968 citedByCount "0" @default.
- W3208659968 crossrefType "posted-content" @default.
- W3208659968 hasAuthorship W3208659968A5062132827 @default.
- W3208659968 hasAuthorship W3208659968A5067455650 @default.
- W3208659968 hasConcept C111030470 @default.
- W3208659968 hasConcept C111919701 @default.
- W3208659968 hasConcept C119857082 @default.
- W3208659968 hasConcept C126255220 @default.
- W3208659968 hasConcept C13280743 @default.
- W3208659968 hasConcept C134306372 @default.
- W3208659968 hasConcept C137836250 @default.
- W3208659968 hasConcept C14036430 @default.
- W3208659968 hasConcept C141934464 @default.
- W3208659968 hasConcept C154945302 @default.
- W3208659968 hasConcept C164752517 @default.
- W3208659968 hasConcept C185798385 @default.
- W3208659968 hasConcept C186633575 @default.
- W3208659968 hasConcept C205649164 @default.
- W3208659968 hasConcept C2778572836 @default.
- W3208659968 hasConcept C33923547 @default.
- W3208659968 hasConcept C41008148 @default.
- W3208659968 hasConcept C78458016 @default.
- W3208659968 hasConcept C86803240 @default.
- W3208659968 hasConceptScore W3208659968C111030470 @default.
- W3208659968 hasConceptScore W3208659968C111919701 @default.
- W3208659968 hasConceptScore W3208659968C119857082 @default.
- W3208659968 hasConceptScore W3208659968C126255220 @default.
- W3208659968 hasConceptScore W3208659968C13280743 @default.
- W3208659968 hasConceptScore W3208659968C134306372 @default.
- W3208659968 hasConceptScore W3208659968C137836250 @default.
- W3208659968 hasConceptScore W3208659968C14036430 @default.
- W3208659968 hasConceptScore W3208659968C141934464 @default.
- W3208659968 hasConceptScore W3208659968C154945302 @default.
- W3208659968 hasConceptScore W3208659968C164752517 @default.
- W3208659968 hasConceptScore W3208659968C185798385 @default.
- W3208659968 hasConceptScore W3208659968C186633575 @default.
- W3208659968 hasConceptScore W3208659968C205649164 @default.
- W3208659968 hasConceptScore W3208659968C2778572836 @default.
- W3208659968 hasConceptScore W3208659968C33923547 @default.
- W3208659968 hasConceptScore W3208659968C41008148 @default.
- W3208659968 hasConceptScore W3208659968C78458016 @default.
- W3208659968 hasConceptScore W3208659968C86803240 @default.
- W3208659968 hasLocation W32086599681 @default.
- W3208659968 hasOpenAccess W3208659968 @default.
- W3208659968 hasPrimaryLocation W32086599681 @default.
- W3208659968 hasRelatedWork W2008592329 @default.
- W3208659968 hasRelatedWork W2012819929 @default.
- W3208659968 hasRelatedWork W2134829400 @default.
- W3208659968 hasRelatedWork W2336444932 @default.
- W3208659968 hasRelatedWork W2594787342 @default.
- W3208659968 hasRelatedWork W2624834736 @default.
- W3208659968 hasRelatedWork W2703574989 @default.
- W3208659968 hasRelatedWork W2745946017 @default.
- W3208659968 hasRelatedWork W2753671491 @default.
- W3208659968 hasRelatedWork W2895545984 @default.
- W3208659968 hasRelatedWork W2905800572 @default.
- W3208659968 hasRelatedWork W2907704552 @default.
- W3208659968 hasRelatedWork W2980498459 @default.
- W3208659968 hasRelatedWork W2998905443 @default.
- W3208659968 hasRelatedWork W3000621145 @default.
- W3208659968 hasRelatedWork W3007002905 @default.
- W3208659968 hasRelatedWork W3083248010 @default.
- W3208659968 hasRelatedWork W3123423968 @default.
- W3208659968 hasRelatedWork W2334019896 @default.
- W3208659968 hasRelatedWork W3126392993 @default.
- W3208659968 isParatext "false" @default.
- W3208659968 isRetracted "false" @default.
- W3208659968 magId "3208659968" @default.
- W3208659968 workType "article" @default.