• DocumentCode
    618168
  • Title

    Evolutionary truss layout optimization using the vectorized structure approach

  • Author

    Ayang Xiao ; Benli Wang ; Yaochu Jin

  • Author_Institution
    Res. Centre of Satellite Technol., Harbin Inst. of Technol., Harbin, China
  • fYear
    2013
  • fDate
    20-23 June 2013
  • Firstpage
    2879
  • Lastpage
    2886
  • Abstract
    A new method called vectorized structure approach (VSA) is proposed for truss layout optimization, which allows effective changes to the truss structure by iteratively adding or removing nodes. This approach generalizes topology optimization to shape optimization, which is based on geometric construction rules. The VSA can generate structures containing a basic set of the required nodes and other nodes that may be critical for finding the optimal structure. The Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is employed for VSA-based truss optimization. Numerical results show that the VSA-based CMA-ES is successful in finding optimal truss layouts and some of the found solutions are better than the best known topologies reported thus far in the literature.
  • Keywords
    covariance matrices; design engineering; evolutionary computation; structural engineering; supports; vectors; CMA-ES; VSA; covariance matrix adaptation evolution strategy; evolutionary truss layout optimization; geometric construction rule; node addition; node removal; shape optimization; topology optimization; vectorized structure approach; Covariance matrices; Fasteners; Layout; Optimization; Shape; Topology; Vectors; CMA-ES; Dynamic constraints; Geometry construction rules; Layout optimization; Vectorized structure approach;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2013 IEEE Congress on
  • Conference_Location
    Cancun
  • Print_ISBN
    978-1-4799-0453-2
  • Electronic_ISBN
    978-1-4799-0452-5
  • Type

    conf

  • DOI
    10.1109/CEC.2013.6557919
  • Filename
    6557919