Matches in SemOpenAlex for { <https://semopenalex.org/work/W2897524934> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W2897524934 abstract "Aiming at the difficulties of implicit functions and high computation cost in engineering design optimization, a combined method is proposed in this paper, which takes advantage of support vector machine(SVM) and cross entropy method(CE). Used the ’Latinized’ centroidal Voronoi tessellation(LCVT) which can generate much uniform supporting points in the design variable space, a high accurate surrogate model is obtained by SVM. At the same time, the traditional cross entropy method is improved by the concepts of global elite samples and the local elites samples and a new parameter updating strategy for extracting the useful information in iteration history. To avoid trapping in the local optimum, a mutation operation is also included in the proposed method. Two numerical examples are used to illustrate the performance of the improved method superior to that of the traditional one. Finally, an engineering example is employed to demonstrate the feasibility of the proposed method in the field of engineering." @default.
- W2897524934 created "2018-10-26" @default.
- W2897524934 creator A5048286296 @default.
- W2897524934 creator A5074743331 @default.
- W2897524934 date "2018-06-01" @default.
- W2897524934 modified "2023-09-24" @default.
- W2897524934 title "Improved Cross Entropy Support Vector Machine Method for Structural Design Optimization" @default.
- W2897524934 cites W1510052597 @default.
- W2897524934 cites W1577352482 @default.
- W2897524934 cites W1578797282 @default.
- W2897524934 cites W1596717185 @default.
- W2897524934 cites W1985658808 @default.
- W2897524934 cites W2004191624 @default.
- W2897524934 cites W2032542619 @default.
- W2897524934 cites W2053744879 @default.
- W2897524934 cites W2080931671 @default.
- W2897524934 cites W2089739565 @default.
- W2897524934 cites W2156909104 @default.
- W2897524934 cites W2281173615 @default.
- W2897524934 cites W2475184047 @default.
- W2897524934 doi "https://doi.org/10.1051/jnwpu/20183630448" @default.
- W2897524934 hasPublicationYear "2018" @default.
- W2897524934 type Work @default.
- W2897524934 sameAs 2897524934 @default.
- W2897524934 citedByCount "0" @default.
- W2897524934 crossrefType "journal-article" @default.
- W2897524934 hasAuthorship W2897524934A5048286296 @default.
- W2897524934 hasAuthorship W2897524934A5074743331 @default.
- W2897524934 hasBestOaLocation W28975249341 @default.
- W2897524934 hasConcept C106301342 @default.
- W2897524934 hasConcept C11413529 @default.
- W2897524934 hasConcept C121332964 @default.
- W2897524934 hasConcept C12267149 @default.
- W2897524934 hasConcept C126255220 @default.
- W2897524934 hasConcept C137836250 @default.
- W2897524934 hasConcept C154945302 @default.
- W2897524934 hasConcept C167981619 @default.
- W2897524934 hasConcept C24881265 @default.
- W2897524934 hasConcept C2524010 @default.
- W2897524934 hasConcept C33923547 @default.
- W2897524934 hasConcept C41008148 @default.
- W2897524934 hasConcept C45374587 @default.
- W2897524934 hasConcept C62520636 @default.
- W2897524934 hasConcept C75782508 @default.
- W2897524934 hasConcept C9679016 @default.
- W2897524934 hasConcept C98036226 @default.
- W2897524934 hasConceptScore W2897524934C106301342 @default.
- W2897524934 hasConceptScore W2897524934C11413529 @default.
- W2897524934 hasConceptScore W2897524934C121332964 @default.
- W2897524934 hasConceptScore W2897524934C12267149 @default.
- W2897524934 hasConceptScore W2897524934C126255220 @default.
- W2897524934 hasConceptScore W2897524934C137836250 @default.
- W2897524934 hasConceptScore W2897524934C154945302 @default.
- W2897524934 hasConceptScore W2897524934C167981619 @default.
- W2897524934 hasConceptScore W2897524934C24881265 @default.
- W2897524934 hasConceptScore W2897524934C2524010 @default.
- W2897524934 hasConceptScore W2897524934C33923547 @default.
- W2897524934 hasConceptScore W2897524934C41008148 @default.
- W2897524934 hasConceptScore W2897524934C45374587 @default.
- W2897524934 hasConceptScore W2897524934C62520636 @default.
- W2897524934 hasConceptScore W2897524934C75782508 @default.
- W2897524934 hasConceptScore W2897524934C9679016 @default.
- W2897524934 hasConceptScore W2897524934C98036226 @default.
- W2897524934 hasLocation W28975249341 @default.
- W2897524934 hasOpenAccess W2897524934 @default.
- W2897524934 hasPrimaryLocation W28975249341 @default.
- W2897524934 hasRelatedWork W1994126272 @default.
- W2897524934 hasRelatedWork W1996393447 @default.
- W2897524934 hasRelatedWork W2011645687 @default.
- W2897524934 hasRelatedWork W2014220254 @default.
- W2897524934 hasRelatedWork W2034499039 @default.
- W2897524934 hasRelatedWork W2046339594 @default.
- W2897524934 hasRelatedWork W2066722671 @default.
- W2897524934 hasRelatedWork W2066884548 @default.
- W2897524934 hasRelatedWork W2075017033 @default.
- W2897524934 hasRelatedWork W2313954171 @default.
- W2897524934 hasRelatedWork W2367416360 @default.
- W2897524934 hasRelatedWork W2380868182 @default.
- W2897524934 hasRelatedWork W2588909158 @default.
- W2897524934 hasRelatedWork W2811287001 @default.
- W2897524934 hasRelatedWork W2907759648 @default.
- W2897524934 hasRelatedWork W3001450165 @default.
- W2897524934 hasRelatedWork W3005650655 @default.
- W2897524934 hasRelatedWork W3010587203 @default.
- W2897524934 hasRelatedWork W3016921549 @default.
- W2897524934 hasRelatedWork W3081976325 @default.
- W2897524934 isParatext "false" @default.
- W2897524934 isRetracted "false" @default.
- W2897524934 magId "2897524934" @default.
- W2897524934 workType "article" @default.