Header menu link for other important links
X
Object-oriented optimization approach using genetic algorithms for lattice towers
Anand Rajaraman
Published in
2004
Volume: 18
   
Issue: 2
Pages: 162 - 171
Abstract
A new approach is presented for the optimization of steel lattice towers by combining genetic algorithms and an object-oriented approach. The purpose of this approach is to eliminate the difficulties in the handling of large size problems such as lattice towers. Improved search and rapid convergence are obtained by considering the lattice tower as a set of small objects and combining these objects into a system. This is possible with serial cantilever structures such as lattice towers. A tower consists of panel objects, which can be classified as separate objects, as they possess an independent property as well as inherent properties. This can considerably reduce the design space of the problem and enhance the result. An optimization approach for the steel lattice tower problem using objects and genetic algorithms is presented here. The paper also describes the algorithm with practical design considerations used for this approach. To demonstrate the approach, a typical tower configuration with practical constraints has been considered for discrete optimization with the new approach and compared with the results of a normal approach in which the full tower is considered. ©ASCE.
About the journal
JournalJournal of Computing in Civil Engineering
ISSN08873801
Open AccessNo
Concepts (12)
  •  related image
    Algorithms
  •  related image
    Cantilever beams
  •  related image
    Genetic algorithms
  •  related image
    Object oriented programming
  •  related image
    Topology
  •  related image
    TOWERS
  •  related image
    Trusses
  •  related image
    LATTICE TOWERS
  •  related image
    SPACE TRUSSES
  •  related image
    STEEL LATTICE
  •  related image
    STEEL STRUCTURE
  •  related image
    Steel