Chotiga Choensiridamrong, B. Watjatrakul, A. Prayote
{"title":"A simultaneous topology and sizing optimization for plane trusses","authors":"Chotiga Choensiridamrong, B. Watjatrakul, A. Prayote","doi":"10.1109/JCSSE.2014.6841852","DOIUrl":null,"url":null,"abstract":"This paper presents two approaches to determine the optimal plane trusses using the particle swarm optimization. The two-stage optimization and the simultaneous topology-sizing optimization of plane trusses are investigated and compared. The matrix representation of both topology and element size is introduced and integrated into the standard particle swarm algorithm to enable higher flexibility and computational efficiency. The truss weight is to be minimized subjected to stability, stress and deformation constraints. The results show that the simultaneous optimization provided much better solutions with higher expense of computational time.","PeriodicalId":331610,"journal":{"name":"2014 11th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 11th International Joint Conference on Computer Science and Software Engineering (JCSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JCSSE.2014.6841852","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents two approaches to determine the optimal plane trusses using the particle swarm optimization. The two-stage optimization and the simultaneous topology-sizing optimization of plane trusses are investigated and compared. The matrix representation of both topology and element size is introduced and integrated into the standard particle swarm algorithm to enable higher flexibility and computational efficiency. The truss weight is to be minimized subjected to stability, stress and deformation constraints. The results show that the simultaneous optimization provided much better solutions with higher expense of computational time.