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    Truss topology optimization with species conserving genetic algorithm

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    Publication date
    2014
    Author
    Li, J.
    Campean, I. Felician
    Keyword
    Genetic algorithm; Truss topology; Species optimisation
    Peer-Reviewed
    Yes
    
    Metadata
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    Abstract
    Abstract: 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.
    URI
    http://hdl.handle.net/10454/10722
    Version
    No full-text in the repository
    Citation
    Li 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.
    Link to publisher’s version
    https://doi.org/10.1109/UKCI.2014.6930184
    Type
    Conference Paper
    Collections
    Engineering and Informatics Publications

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