Optimization of lifting points of large-span steel structure based on evolutionary programming

  • Authors:
  • Xin Wang;Xu Lei;Xuyang Cao;Yang Zhou;Shunde Gao

  • Affiliations:
  • School of Mechanical Engineering, Dalian University of Technology, Dalian, China;School of Mechanical Engineering, Dalian University of Technology, Dalian, China;School of Mechanical Engineering, Dalian University of Technology, Dalian, China;School of Mechanical Engineering, Dalian University of Technology, Dalian, China;School of Mechanical Engineering, Dalian University of Technology, Dalian, China

  • Venue:
  • ICICA'12 Proceedings of the Third international conference on Information Computing and Applications
  • Year:
  • 2012

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Abstract

To design the lifting points of large-span steel structure when the various compatibility equations are undefined in the lifting process, the programs based on improved evolutionary programming are developed by MATLAB. Lifting points design is to determine the comprehensive optimal strategy on number and distribution of lifting points, among which the minimum strain energy theory is mentioned and the secondary development technology of ANSYS-APDL is used. The performance and efficiency of the algorithms in different optimization ideas (hiberarchy optimization and synchronic optimization) and methods (the particle swarm optimization and evolutionary programming) are compared, the results indicate that the improved evolutionary programming method based on synchronic optimization idea is satisfactory and provides a new but more effective method.