FUZZY LOGIC INTEGRATED GENETIC PROGRAMMING FOR OPTIMIZATION AND DESIGN

In the last 3 decades, significant progress has been made in the development of fuzzy sets and fuzzy logic theory and their use in a large variety of applied topics in engineering and natural and socioeconomic sciences. A fuzzy logic integrated genetic programming (GP) based methodology is proposed to increase the performance of the GP based approach for structural optimization and design. Fuzzy set theory is employed to deal with the imprecise and vague information, especially the design constraints, during the structural design process. A fuzzy logic based decision-making system incorporating expert knowledge and experience is used to control the iteration process of genetic search. Illustrative examples have been used to demonstrate that, when comparing the proposed fuzzy logic controlled GP approach with the pure GP method, the proposed new approach has a higher search efficiency.

Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/08873801
Corporate Authors:
American Society of Civil Engineers

1801 Alexander Bell Drive
Reston, VA United States 20191-4400
Authors:
- Yang, Yang
- Soh, C K
Publication Date: 2000-10

Language

English

Media Info

Features: Appendices; Figures; References; Tables;
Pagination: p. 249-254
Serial:
- Journal of Computing in Civil Engineering
- Volume: 14
- Issue Number: 4
- Publisher: American Society of Civil Engineers
- ISSN: 0887-3801

Subject/Index Terms

TRT Terms: Artificial intelligence; Constraints; Decision support systems; Design standards; Expert systems; Fuzzy logic; Fuzzy sets; Genetic algorithms; Iterative methods; Optimization; Programming (Mathematics); Structural design; Trusses
Subject Areas: Bridges and other structures; Design; Highways; I24: Design of Bridges and Retaining Walls;

Filing Info

Accession Number: 00800603
Record Type: Publication
Contract Numbers: CMS 9457549, IRC-195558/96
Files: TRIS
Created Date: Oct 12 2000 12:00AM