Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387076483> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W4387076483 abstract "The main concern of this study is to find the optimal design of truss structures considering sizing and layout variables simultaneously. As compared to purely sizing optimization problems, this problem is more challenging since the two types of variables involved are fundamentally different in nature. In this paper, a reinforcement learning method combining the update process and Monte Carlo tree search called the update Monte Carlo tree search (UMCTS) for sizing optimization problems is applied to solve combined sizing and layout optimization for truss structures. This study proposes a novel update process for nodal coordinates with two features. (1) The allowed range of each coordinate varies in each round. (2) Accelerators for the number of entries in the allowed range and iteration numbers are introduced to reduce the computation time. Furthermore, nodal coordinates and member areas are determined at the same time with only one search tree in each round. The validation and efficiency of the UMCTS are tested on benchmark problems of planar and spatial trusses with discrete sizing variables and continuous layout variables. It is shown that the CPU time of the UMCTS is two times faster than the branch and bound method. The numerical results demonstrate that the proposed method stably achieves a better solution than other traditional methods." @default.
- W4387076483 created "2023-09-27" @default.
- W4387076483 creator A5051333862 @default.
- W4387076483 creator A5056451255 @default.
- W4387076483 creator A5062411867 @default.
- W4387076483 date "2023-09-25" @default.
- W4387076483 modified "2023-09-28" @default.
- W4387076483 title "Combined sizing and layout optimization of truss structures via update Monte Carlo tree search (UMCTS) algorithm" @default.
- W4387076483 doi "https://doi.org/10.48550/arxiv.2309.14231" @default.
- W4387076483 hasPublicationYear "2023" @default.
- W4387076483 type Work @default.
- W4387076483 citedByCount "0" @default.
- W4387076483 crossrefType "posted-content" @default.
- W4387076483 hasAuthorship W4387076483A5051333862 @default.
- W4387076483 hasAuthorship W4387076483A5056451255 @default.
- W4387076483 hasAuthorship W4387076483A5062411867 @default.
- W4387076483 hasBestOaLocation W43870764831 @default.
- W4387076483 hasConcept C105795698 @default.
- W4387076483 hasConcept C113174947 @default.
- W4387076483 hasConcept C11413529 @default.
- W4387076483 hasConcept C125583679 @default.
- W4387076483 hasConcept C126255220 @default.
- W4387076483 hasConcept C127413603 @default.
- W4387076483 hasConcept C13280743 @default.
- W4387076483 hasConcept C134306372 @default.
- W4387076483 hasConcept C142362112 @default.
- W4387076483 hasConcept C146978453 @default.
- W4387076483 hasConcept C153349607 @default.
- W4387076483 hasConcept C173534245 @default.
- W4387076483 hasConcept C173608175 @default.
- W4387076483 hasConcept C185798385 @default.
- W4387076483 hasConcept C19499675 @default.
- W4387076483 hasConcept C204323151 @default.
- W4387076483 hasConcept C205649164 @default.
- W4387076483 hasConcept C207024777 @default.
- W4387076483 hasConcept C2777767291 @default.
- W4387076483 hasConcept C33923547 @default.
- W4387076483 hasConcept C41008148 @default.
- W4387076483 hasConcept C45374587 @default.
- W4387076483 hasConcept C46149586 @default.
- W4387076483 hasConcept C66938386 @default.
- W4387076483 hasConcept C68339613 @default.
- W4387076483 hasConceptScore W4387076483C105795698 @default.
- W4387076483 hasConceptScore W4387076483C113174947 @default.
- W4387076483 hasConceptScore W4387076483C11413529 @default.
- W4387076483 hasConceptScore W4387076483C125583679 @default.
- W4387076483 hasConceptScore W4387076483C126255220 @default.
- W4387076483 hasConceptScore W4387076483C127413603 @default.
- W4387076483 hasConceptScore W4387076483C13280743 @default.
- W4387076483 hasConceptScore W4387076483C134306372 @default.
- W4387076483 hasConceptScore W4387076483C142362112 @default.
- W4387076483 hasConceptScore W4387076483C146978453 @default.
- W4387076483 hasConceptScore W4387076483C153349607 @default.
- W4387076483 hasConceptScore W4387076483C173534245 @default.
- W4387076483 hasConceptScore W4387076483C173608175 @default.
- W4387076483 hasConceptScore W4387076483C185798385 @default.
- W4387076483 hasConceptScore W4387076483C19499675 @default.
- W4387076483 hasConceptScore W4387076483C204323151 @default.
- W4387076483 hasConceptScore W4387076483C205649164 @default.
- W4387076483 hasConceptScore W4387076483C207024777 @default.
- W4387076483 hasConceptScore W4387076483C2777767291 @default.
- W4387076483 hasConceptScore W4387076483C33923547 @default.
- W4387076483 hasConceptScore W4387076483C41008148 @default.
- W4387076483 hasConceptScore W4387076483C45374587 @default.
- W4387076483 hasConceptScore W4387076483C46149586 @default.
- W4387076483 hasConceptScore W4387076483C66938386 @default.
- W4387076483 hasConceptScore W4387076483C68339613 @default.
- W4387076483 hasLocation W43870764831 @default.
- W4387076483 hasOpenAccess W4387076483 @default.
- W4387076483 hasPrimaryLocation W43870764831 @default.
- W4387076483 hasRelatedWork W1785631772 @default.
- W4387076483 hasRelatedWork W1988498514 @default.
- W4387076483 hasRelatedWork W2045617684 @default.
- W4387076483 hasRelatedWork W2121551448 @default.
- W4387076483 hasRelatedWork W2591200008 @default.
- W4387076483 hasRelatedWork W2946478166 @default.
- W4387076483 hasRelatedWork W2975054757 @default.
- W4387076483 hasRelatedWork W2995336719 @default.
- W4387076483 hasRelatedWork W3171665292 @default.
- W4387076483 hasRelatedWork W4327811054 @default.
- W4387076483 isParatext "false" @default.
- W4387076483 isRetracted "false" @default.
- W4387076483 workType "article" @default.