Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891321519> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W2891321519 abstract "The development of an automatic geometry optimization tool for efficient aerodynamic shape design, supported by Computational Fluid Dynamic (CFD) methods is nowadays an attractive research field, as can be observed from the increasing number of scientific publications during the last years. Surrogate-based global optimization methods have demonstrated a huge potential to reduce the actual number of CFD runs, and therefore drastically speed-up the design process. Nevertheless, surrogates need initial high fidelity data sets to be built and to reach a proper accuracy. This work presents a study on the influence of the initial training dataset size in the proposed approach behavior. This approach is based on the use of Support Vector Machines (SVMs) as the surrogate model for estimating the objective function, in combination with an Evolutionary Algorithm (EA) and an adaptive sampling technique focused on optimization called the Intelligent Estimation Search with Sequential Learning (IES-SL). Several number of training points have been fixed to check the convergence, the accuracy and the objective function reached by the method." @default.
- W2891321519 created "2018-09-27" @default.
- W2891321519 creator A5044801494 @default.
- W2891321519 creator A5067946585 @default.
- W2891321519 date "2018-09-07" @default.
- W2891321519 modified "2023-10-18" @default.
- W2891321519 title "Study of the Influence of the Initial a Priori Training Dataset Size in the Efficiency and Convergence of Surrogate-Based Evolutionary Optimization" @default.
- W2891321519 cites W1987676433 @default.
- W2891321519 cites W2068684977 @default.
- W2891321519 cites W2086460994 @default.
- W2891321519 cites W2088577183 @default.
- W2891321519 cites W2093988788 @default.
- W2891321519 cites W2148889163 @default.
- W2891321519 cites W2323311909 @default.
- W2891321519 cites W2324881822 @default.
- W2891321519 cites W2325084148 @default.
- W2891321519 cites W2505950918 @default.
- W2891321519 cites W4205649593 @default.
- W2891321519 doi "https://doi.org/10.1007/978-3-319-89890-2_12" @default.
- W2891321519 hasPublicationYear "2018" @default.
- W2891321519 type Work @default.
- W2891321519 sameAs 2891321519 @default.
- W2891321519 citedByCount "0" @default.
- W2891321519 crossrefType "book-chapter" @default.
- W2891321519 hasAuthorship W2891321519A5044801494 @default.
- W2891321519 hasAuthorship W2891321519A5067946585 @default.
- W2891321519 hasConcept C111472728 @default.
- W2891321519 hasConcept C126255220 @default.
- W2891321519 hasConcept C138885662 @default.
- W2891321519 hasConcept C153294291 @default.
- W2891321519 hasConcept C154945302 @default.
- W2891321519 hasConcept C159149176 @default.
- W2891321519 hasConcept C162324750 @default.
- W2891321519 hasConcept C205649164 @default.
- W2891321519 hasConcept C2777211547 @default.
- W2891321519 hasConcept C2777303404 @default.
- W2891321519 hasConcept C33923547 @default.
- W2891321519 hasConcept C41008148 @default.
- W2891321519 hasConcept C50522688 @default.
- W2891321519 hasConcept C75553542 @default.
- W2891321519 hasConceptScore W2891321519C111472728 @default.
- W2891321519 hasConceptScore W2891321519C126255220 @default.
- W2891321519 hasConceptScore W2891321519C138885662 @default.
- W2891321519 hasConceptScore W2891321519C153294291 @default.
- W2891321519 hasConceptScore W2891321519C154945302 @default.
- W2891321519 hasConceptScore W2891321519C159149176 @default.
- W2891321519 hasConceptScore W2891321519C162324750 @default.
- W2891321519 hasConceptScore W2891321519C205649164 @default.
- W2891321519 hasConceptScore W2891321519C2777211547 @default.
- W2891321519 hasConceptScore W2891321519C2777303404 @default.
- W2891321519 hasConceptScore W2891321519C33923547 @default.
- W2891321519 hasConceptScore W2891321519C41008148 @default.
- W2891321519 hasConceptScore W2891321519C50522688 @default.
- W2891321519 hasConceptScore W2891321519C75553542 @default.
- W2891321519 hasLocation W28913215191 @default.
- W2891321519 hasOpenAccess W2891321519 @default.
- W2891321519 hasPrimaryLocation W28913215191 @default.
- W2891321519 hasRelatedWork W1486366806 @default.
- W2891321519 hasRelatedWork W1534737284 @default.
- W2891321519 hasRelatedWork W2002883496 @default.
- W2891321519 hasRelatedWork W2006018771 @default.
- W2891321519 hasRelatedWork W2020174565 @default.
- W2891321519 hasRelatedWork W2060712720 @default.
- W2891321519 hasRelatedWork W2158065114 @default.
- W2891321519 hasRelatedWork W2566954501 @default.
- W2891321519 hasRelatedWork W2765202572 @default.
- W2891321519 hasRelatedWork W903351113 @default.
- W2891321519 isParatext "false" @default.
- W2891321519 isRetracted "false" @default.
- W2891321519 magId "2891321519" @default.
- W2891321519 workType "book-chapter" @default.