Matches in SemOpenAlex for { <https://semopenalex.org/work/W4323643722> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W4323643722 endingPage "217" @default.
- W4323643722 startingPage "205" @default.
- W4323643722 abstract "Currently, the research on expensive optimization problems mainly focuses on continuous problems and ignores combinatorial problems, which exist in many real-world applications. Since in surrogate model assisted evolution algorithms (SAEAs), the surrogate models from the community of machine learning are usually designed from continuous problems, and they are not suitable from combinatorial problems. For this reason, we propose a convolution relation model for both continuous and combinatorial problems. In the new relation model, a sample representation method of a relation map is proposed in the data preparation, and the convolution neural network is used to learn the relationships between pairs of candidate solutions. The new method is embedded into a basic multiobjective evolutionary algorithm and applied to a set of continuous and combinatorial problems. The experimental results suggest that the relation model with the same settings can solve continuous and combinatorial problems, and it has an advantage in terms of problem scalability." @default.
- W4323643722 created "2023-03-10" @default.
- W4323643722 creator A5050248676 @default.
- W4323643722 creator A5055040307 @default.
- W4323643722 date "2023-01-01" @default.
- W4323643722 modified "2023-09-29" @default.
- W4323643722 title "A Relation Surrogate Model for Expensive Multiobjective Continuous and Combinatorial Optimization" @default.
- W4323643722 cites W1514363319 @default.
- W4323643722 cites W1520622896 @default.
- W4323643722 cites W1588375755 @default.
- W4323643722 cites W2102365077 @default.
- W4323643722 cites W2106334424 @default.
- W4323643722 cites W2126105956 @default.
- W4323643722 cites W2139196352 @default.
- W4323643722 cites W2143381319 @default.
- W4323643722 cites W2546299924 @default.
- W4323643722 cites W2566693540 @default.
- W4323643722 cites W2591927365 @default.
- W4323643722 cites W2599937626 @default.
- W4323643722 cites W2764251381 @default.
- W4323643722 cites W2785722638 @default.
- W4323643722 cites W2954234207 @default.
- W4323643722 cites W2954826798 @default.
- W4323643722 cites W3015263729 @default.
- W4323643722 cites W3153328918 @default.
- W4323643722 cites W3189216291 @default.
- W4323643722 cites W3192885829 @default.
- W4323643722 cites W4213023965 @default.
- W4323643722 cites W4249517230 @default.
- W4323643722 doi "https://doi.org/10.1007/978-3-031-27250-9_15" @default.
- W4323643722 hasPublicationYear "2023" @default.
- W4323643722 type Work @default.
- W4323643722 citedByCount "0" @default.
- W4323643722 crossrefType "book-chapter" @default.
- W4323643722 hasAuthorship W4323643722A5050248676 @default.
- W4323643722 hasAuthorship W4323643722A5055040307 @default.
- W4323643722 hasConcept C11413529 @default.
- W4323643722 hasConcept C119857082 @default.
- W4323643722 hasConcept C124101348 @default.
- W4323643722 hasConcept C126255220 @default.
- W4323643722 hasConcept C131675550 @default.
- W4323643722 hasConcept C137836250 @default.
- W4323643722 hasConcept C154945302 @default.
- W4323643722 hasConcept C17744445 @default.
- W4323643722 hasConcept C199539241 @default.
- W4323643722 hasConcept C25343380 @default.
- W4323643722 hasConcept C2776359362 @default.
- W4323643722 hasConcept C33923547 @default.
- W4323643722 hasConcept C41008148 @default.
- W4323643722 hasConcept C45347329 @default.
- W4323643722 hasConcept C48044578 @default.
- W4323643722 hasConcept C50644808 @default.
- W4323643722 hasConcept C52692508 @default.
- W4323643722 hasConcept C77088390 @default.
- W4323643722 hasConcept C80444323 @default.
- W4323643722 hasConcept C94625758 @default.
- W4323643722 hasConceptScore W4323643722C11413529 @default.
- W4323643722 hasConceptScore W4323643722C119857082 @default.
- W4323643722 hasConceptScore W4323643722C124101348 @default.
- W4323643722 hasConceptScore W4323643722C126255220 @default.
- W4323643722 hasConceptScore W4323643722C131675550 @default.
- W4323643722 hasConceptScore W4323643722C137836250 @default.
- W4323643722 hasConceptScore W4323643722C154945302 @default.
- W4323643722 hasConceptScore W4323643722C17744445 @default.
- W4323643722 hasConceptScore W4323643722C199539241 @default.
- W4323643722 hasConceptScore W4323643722C25343380 @default.
- W4323643722 hasConceptScore W4323643722C2776359362 @default.
- W4323643722 hasConceptScore W4323643722C33923547 @default.
- W4323643722 hasConceptScore W4323643722C41008148 @default.
- W4323643722 hasConceptScore W4323643722C45347329 @default.
- W4323643722 hasConceptScore W4323643722C48044578 @default.
- W4323643722 hasConceptScore W4323643722C50644808 @default.
- W4323643722 hasConceptScore W4323643722C52692508 @default.
- W4323643722 hasConceptScore W4323643722C77088390 @default.
- W4323643722 hasConceptScore W4323643722C80444323 @default.
- W4323643722 hasConceptScore W4323643722C94625758 @default.
- W4323643722 hasLocation W43236437221 @default.
- W4323643722 hasOpenAccess W4323643722 @default.
- W4323643722 hasPrimaryLocation W43236437221 @default.
- W4323643722 hasRelatedWork W1991536873 @default.
- W4323643722 hasRelatedWork W2032602526 @default.
- W4323643722 hasRelatedWork W2055871142 @default.
- W4323643722 hasRelatedWork W2474680198 @default.
- W4323643722 hasRelatedWork W2937621662 @default.
- W4323643722 hasRelatedWork W2995841625 @default.
- W4323643722 hasRelatedWork W3099810946 @default.
- W4323643722 hasRelatedWork W4294811463 @default.
- W4323643722 hasRelatedWork W4297958055 @default.
- W4323643722 hasRelatedWork W4313389065 @default.
- W4323643722 isParatext "false" @default.
- W4323643722 isRetracted "false" @default.
- W4323643722 workType "book-chapter" @default.