Optimum geometry design of plane trusses supporting distributed loads using genetic algorithms

Alireza Maheri, M. R. Maheri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The present paper describes a new genetic algorithm (GA) for geometry optimisation of plane trusses designed for supporting distributed loads. The objective of the optimisation is to minimise the weight of the truss subject to a constraint on the number and locations of the load bearing nodes. The origin of this constraint is in the distributed load domain rather than the truss domain. The proposed GA uses a variable-length vector of design variables representing the number of nodes and nodal coordinates. Hence, in contrary to other GA-based truss geometry design and optimisation methods, it neither needs to have all nodes prelocated (or to use a grid of potential nodes) nor does it require that the truss topology to be fixed. The mutation operator used is dynamic arithmetic, while a geometric cross-over generates trusses of the next generation. A new concept of partial fitness has been used in mating process to perform an educated cross-over, aimed at enhancing the convergence rate of the algorithm. Case studies have been carried out to show the practicality and efficiency of the algorithm.

Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Cmp 2007
EditorsB H V Topping
PublisherCIVIL COMP PRESS
Volume87
ISBN (Print)9781905088201
Publication statusPublished - 2007
Event9th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Comp 2007 - St. Julians, Malta
Duration: 18 Sep 200721 Sep 2007

Conference

Conference9th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Comp 2007
CountryMalta
CitySt. Julians
Period18/09/0721/09/07

Keywords

  • Design
  • Genetic algorithm
  • Integrated optimisation
  • Optimisation
  • Truss

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Civil and Structural Engineering
  • Artificial Intelligence
  • Environmental Engineering

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  • Cite this

    Maheri, A., & Maheri, M. R. (2007). Optimum geometry design of plane trusses supporting distributed loads using genetic algorithms. In B. H. V. Topping (Ed.), Proceedings of the 9th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Cmp 2007 (Vol. 87). CIVIL COMP PRESS.