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dc.contributor.authorLi, J.*
dc.contributor.authorCampean, Felician*
dc.date.accessioned2016-11-28T15:10:28Z
dc.date.available2016-11-28T15:10:28Z
dc.date.issued2014
dc.identifier.citationLi J and Campean IF (2014) Truss topology optimization with species conserving genetic algorithm. In: Proceedings of the 14th UK Workshop on Computational Intelligence. 8-10 Sep 2014, Bradford, UK: 1-7.
dc.identifier.urihttp://hdl.handle.net/10454/10722
dc.descriptionNo
dc.description.abstractAbstract: This paper is to apply the species conserving genetic algorithm (SCGA) to search multiple solutions of truss topology optimization problems in a single run. A real-vector is used to represent the corresponding cross-sectional areas and a member is thought to be existent if its area is bigger than a critical area. A finite element analysis model has been developed to deal with more practical considerations in modeling, such as existences of members, kinematic stability analysis and the computation of stresses and displacements. Cross-sectional areas and node connections are taken as decision variables and optimized simultaneously to minimize the total weight of trusses. Numerical results demonstrate that some truss topology optimization examples have many global and local solutions and different topologies can be found by using the proposed algorithm in a single run and some trusses have smaller weight than the solutions in the literature.
dc.relation.isreferencedbyhttps://doi.org/10.1109/UKCI.2014.6930184
dc.subjectGenetic algorithm; Truss topology; Species optimisation
dc.titleTruss topology optimization with species conserving genetic algorithm
dc.status.refereedYes
dc.typeConference Paper
dc.type.versionNo full-text in the repository


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