FUZZY CONTROLLED GENETIC ALGORITHM SEARCH FOR SHAPE OPTIMIZATION

Structural weight is determined in part by shape design. This paper examines structural shape optimization via fuzzy controlled genetic-based search technique. An automated optimal procedure based on the proposed approach is developed and used in the least-weight design of truss structures, which include geometry as a design variable to be optimized. Design constraints related to member stress, joint displacement, and member buckling are described by employing a fuzzy set theory. To control its optimal search process, a fuzzy rule-based system representing expert knowledge and experience is incorporated in the approach. Four examples for shape designs are presented to illustrate the effectiveness and efficiency of the proposed hybrid approach as compared to the use of pure genetic algorithms and other numerical procedures. The examples reveal that the methodology is flexible enough to handle rigidly jointed structures.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/08873801
• Corporate Authors:

  American Society of Civil Engineers

  345 East 47th Street
  New York, NY  United States  10017-2398
• Authors:
  • Soh, C K
  • Yang, Jinglin
• Publication Date: 1996-4

Language

• English

Media Info

• Features: Appendices; Figures; References; Tables;
• Pagination: p. 143-150
• Serial:
  • Journal of Computing in Civil Engineering
  • Volume: 10
  • Issue Number: 2
  • Publisher: American Society of Civil Engineers
  • ISSN: 0887-3801

Subject/Index Terms

• TRT Terms: Algorithms; Design; Fuzzy sets; Genetics; Geometry; Optimization; Shape; Structures; Weight
• Subject Areas: Bridges and other structures; Design; Highways; I24: Design of Bridges and Retaining Walls;

Filing Info

• Accession Number: 00721073
• Record Type: Publication
• Files: TRIS
• Created Date: May 12 1996 12:00AM