Hybrid genetic algorithm for optimal seismic design

Se Woon Choi, Yousok Kim, Hyo Seon Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The genetic algorithm (GA) is widely used in the optimal structural design field due to the excellent global exploration capacity and applicability of it. Although GA is very robust and has various advantages, it is very computationally intensive and poor at the local search. To improve this problem, this study presents a hybrid optimization method in which a local search operator based on the resizing design method is embedded in the framework of GA. The resizing method is to redesign the sectional properties of corresponding elements based on the displacement participation factor of elements consisting of buildings without the repetitive structural analysis. This improves the stiffness of the building through efficiently redistributing the structure material. The GA is efficiently used in a global exploration, while the resizing design method is used in a local exploitation. This study uses the NSGA-II, which is a kind of GA, to optimize the multi-objective functions. The efficiency of this hybrid optimization method was investigated using the steel moment frame example. The result showed that the hybrid method had great improvement on the convergence rate than the original NSGA-II.

Original languageEnglish
Title of host publicationISEC 2013 - 7th International Structural Engineering and Construction Conference
Subtitle of host publicationNew Developments in Structural Engineering and Construction
PublisherResearch Publishing Services
Pages327-330
Number of pages4
ISBN (Electronic)9810753551, 9789810753559
DOIs
Publication statusPublished - 2013 Jan 1
Event7th International Structural Engineering and Construction Conference: New Developments in Structural Engineering and Construction, ISEC 2013 - Honolulu, United States
Duration: 2013 Jun 182013 Jun 23

Other

Other7th International Structural Engineering and Construction Conference: New Developments in Structural Engineering and Construction, ISEC 2013
CountryUnited States
CityHonolulu
Period13/6/1813/6/23

Fingerprint

Seismic design
Genetic algorithms
Structural design
Structural analysis
Mathematical operators
Stiffness
Steel

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction

Cite this

Choi, S. W., Kim, Y., & Park, H. S. (2013). Hybrid genetic algorithm for optimal seismic design. In ISEC 2013 - 7th International Structural Engineering and Construction Conference: New Developments in Structural Engineering and Construction (pp. 327-330). Research Publishing Services. https://doi.org/10.3850/978-981-07-5354-2-St-40-102
Choi, Se Woon ; Kim, Yousok ; Park, Hyo Seon. / Hybrid genetic algorithm for optimal seismic design. ISEC 2013 - 7th International Structural Engineering and Construction Conference: New Developments in Structural Engineering and Construction. Research Publishing Services, 2013. pp. 327-330
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Choi, SW, Kim, Y & Park, HS 2013, Hybrid genetic algorithm for optimal seismic design. in ISEC 2013 - 7th International Structural Engineering and Construction Conference: New Developments in Structural Engineering and Construction. Research Publishing Services, pp. 327-330, 7th International Structural Engineering and Construction Conference: New Developments in Structural Engineering and Construction, ISEC 2013, Honolulu, United States, 13/6/18. https://doi.org/10.3850/978-981-07-5354-2-St-40-102

Hybrid genetic algorithm for optimal seismic design. / Choi, Se Woon; Kim, Yousok; Park, Hyo Seon.

ISEC 2013 - 7th International Structural Engineering and Construction Conference: New Developments in Structural Engineering and Construction. Research Publishing Services, 2013. p. 327-330.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Choi SW, Kim Y, Park HS. Hybrid genetic algorithm for optimal seismic design. In ISEC 2013 - 7th International Structural Engineering and Construction Conference: New Developments in Structural Engineering and Construction. Research Publishing Services. 2013. p. 327-330 https://doi.org/10.3850/978-981-07-5354-2-St-40-102