Structural Engineering and Mechanics

  • 제10권4호
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  • Pages.313-336
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  • 2000
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

A robust genetic algorithm for structural optimization

  • Chen, S.Y. (Department of Civil Engineering, Arizona State University) ;
  • Rajan, S.D. (Department of Civil Engineering, Arizona State University)
  • 발행 : 2000.10.25
⟨ 이전 논문 다음 논문 ⟩

초록

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.

키워드

참고문헌

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