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Structural Engineering and Mechanics   Volume 10, Number 4, October 2000, pages 313-336
DOI: https://doi.org/10.12989/sem.2000.10.4.313
 
A robust genetic algorithm for structural optimization
Chen SY, Rajan SD

 
Abstract     [Buy Article]
    The focus of this paper is on the development and implementation of a methodology for automated design of discrete structural systems. The research is aimed at utilizing Genetic Algorithms (GA) as an automated design tool. Several key enhancements are made to the simple GA in order to increase the efficiency, reliability and accuracy of the methodology for code-based design of structures. The AISC-ASD design code is used to illustrate the design methodology. Small as well as large-scale problems are solved. Simultaneous sizing, shape and topology optimal designs of structural framed systems subjected to static and dynamic loads are considered. Comparisons with results from prior publications and solution to new problems show that the enhancements made to the GA do indeed make the design system more efficient and robust.
 
Key Words
    genetic algorithm, optimal design, AISC, frame design, design automation
 
Address
Chen SY, Honeywell Engines & Syst Inc, Phoenix, AZ USA
Arizona State Univ, Dept Civil Engn, Tempe, AZ 85287 USA
 

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