Matches in SemOpenAlex for { <https://semopenalex.org/work/W4283790528> ?p ?o ?g. }
Showing items 1 to 60 of
60
with 100 items per page.
- W4283790528 endingPage "367" @default.
- W4283790528 startingPage "360" @default.
- W4283790528 abstract "It is well-known that maintenance decision optimization for multi-component systems faces the curse of dimensionality. Specifically, the number of decision variables needed to be optimized grows exponentially in the number of components causing computational expensive for optimization algorithms. To address this issue, we customize a multi-agent deep reinforcement learning algorithm, namely Weighted QMIX, in the case where system states can be fully observed to obtain cost-effective policies. A case study is conducted on a 13- component system to examine the effectiveness of the customized algorithm. The obtained results confirmed its performance." @default.
- W4283790528 created "2022-07-05" @default.
- W4283790528 creator A5010854199 @default.
- W4283790528 creator A5013737888 @default.
- W4283790528 creator A5041399396 @default.
- W4283790528 creator A5074443282 @default.
- W4283790528 date "2022-06-29" @default.
- W4283790528 modified "2023-10-09" @default.
- W4283790528 title "Weighted-QMIX-based Optimization for Maintenance Decision-making of Multi-component Systems" @default.
- W4283790528 doi "https://doi.org/10.36001/phme.2022.v7i1.3319" @default.
- W4283790528 hasPublicationYear "2022" @default.
- W4283790528 type Work @default.
- W4283790528 citedByCount "0" @default.
- W4283790528 crossrefType "journal-article" @default.
- W4283790528 hasAuthorship W4283790528A5010854199 @default.
- W4283790528 hasAuthorship W4283790528A5013737888 @default.
- W4283790528 hasAuthorship W4283790528A5041399396 @default.
- W4283790528 hasAuthorship W4283790528A5074443282 @default.
- W4283790528 hasBestOaLocation W42837905281 @default.
- W4283790528 hasConcept C111030470 @default.
- W4283790528 hasConcept C121332964 @default.
- W4283790528 hasConcept C126255220 @default.
- W4283790528 hasConcept C154945302 @default.
- W4283790528 hasConcept C168167062 @default.
- W4283790528 hasConcept C27438332 @default.
- W4283790528 hasConcept C33923547 @default.
- W4283790528 hasConcept C41008148 @default.
- W4283790528 hasConcept C97355855 @default.
- W4283790528 hasConcept C97541855 @default.
- W4283790528 hasConceptScore W4283790528C111030470 @default.
- W4283790528 hasConceptScore W4283790528C121332964 @default.
- W4283790528 hasConceptScore W4283790528C126255220 @default.
- W4283790528 hasConceptScore W4283790528C154945302 @default.
- W4283790528 hasConceptScore W4283790528C168167062 @default.
- W4283790528 hasConceptScore W4283790528C27438332 @default.
- W4283790528 hasConceptScore W4283790528C33923547 @default.
- W4283790528 hasConceptScore W4283790528C41008148 @default.
- W4283790528 hasConceptScore W4283790528C97355855 @default.
- W4283790528 hasConceptScore W4283790528C97541855 @default.
- W4283790528 hasIssue "1" @default.
- W4283790528 hasLocation W42837905281 @default.
- W4283790528 hasLocation W42837905282 @default.
- W4283790528 hasOpenAccess W4283790528 @default.
- W4283790528 hasPrimaryLocation W42837905281 @default.
- W4283790528 hasRelatedWork W1995622179 @default.
- W4283790528 hasRelatedWork W2379533788 @default.
- W4283790528 hasRelatedWork W260766989 @default.
- W4283790528 hasRelatedWork W2959276766 @default.
- W4283790528 hasRelatedWork W3074294383 @default.
- W4283790528 hasRelatedWork W3111983280 @default.
- W4283790528 hasRelatedWork W3139193008 @default.
- W4283790528 hasRelatedWork W3164468573 @default.
- W4283790528 hasRelatedWork W4206669594 @default.
- W4283790528 hasRelatedWork W4295941380 @default.
- W4283790528 hasVolume "7" @default.
- W4283790528 isParatext "false" @default.
- W4283790528 isRetracted "false" @default.
- W4283790528 workType "article" @default.