Structural Engineering and Mechanics

  • 제26권2호
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  • Pages.191-210
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  • 2007
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

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Discrete approaches in evolution strategies based optimum design of steel frames

  • Hasancebi, O. (Department of Civil Engineering, Middle East Technical University)
  • 투고 : 2006.07.14
  • 심사 : 2006.11.24
  • 발행 : 2007.05.30
⟨ 이전 논문 다음 논문 ⟩

초록

The three different approaches (reformulations) of evolution strategies (ESs) have been proposed in the literature as extensions of the technique for solving discrete problems. This study implements an extensive research on application, evaluation and comparison of them in discrete optimum design of steel frames. A unified formulation is first developed to explain these approaches, so that differences and similarities between their inherent search mechanisms can clearly be identified. Two examples from practical design of steel frames are studied next to measure their performances in locating the optimum. Extensive numerical experimentations are performed in both examples to facilitate a statistical analysis of their convergence characteristics. The results obtained are presented in the histograms demonstrating the distribution of the best designs located by each approach. In addition, an average improvement of the best design during the course of evolution is plotted in each case to compare their relative convergence rates.

키워드

참고문헌

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피인용 문헌

  1. Performance evaluation of metaheuristic search techniques in the optimum design of real size pin jointed structures vol.87, pp.5-6, 2009, https://doi.org/10.1016/j.compstruc.2009.01.002
  2. Optimum design of high-rise steel buildings using an evolution strategy integrated parallel algorithm vol.89, pp.21-22, 2011, https://doi.org/10.1016/j.compstruc.2011.05.019
  3. Comparison of non-deterministic search techniques in the optimum design of real size steel frames vol.88, pp.17-18, 2010, https://doi.org/10.1016/j.compstruc.2010.06.006
  4. Mathematical and Metaheuristic Applications in Design Optimization of Steel Frame Structures: An Extensive Review vol.2013, 2013, https://doi.org/10.1155/2013/271031
  5. Hybrid Self-Adaptive Evolution Strategies Guided by Neighborhood Structures for Combinatorial Optimization Problems vol.24, pp.4, 2016, https://doi.org/10.1162/EVCO_a_00187