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Optimum Reinforced Concrete Design by Harmony Search Algorithm

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Metaheuristics and Optimization in Civil Engineering

Part of the book series: Modeling and Optimization in Science and Technologies ((MOST,volume 7))

Abstract

The music-inspired metaheuristic method, called harmony search (HS), is an effective tool in optimization of engineering design problems. HS has been applied for the optimum design of reinforced concrete (RC) members so as to find the best solution, balancing the usability of the design and economy. In this chapter, the optimum design of RC members is presented after optimization of RC members. Then, HS-based optimization applications, such as RC slender columns, RC shear walls, and post-tensioned RC axially symmetric cylindrical walls, are also discussed. The HS-based methods are feasible in finding the optimum design in such problems.

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Author information

Authors and Affiliations

  1. Department of Civil Engineering, Istanbul University, 34320, Avcılar, Istanbul, Turkey

    Gebrail Bekdaş & Sinan Melih Nigdeli

  2. Design Engineering and Mathematics, Middlesex University London, The Burroughs, London, NW44BT, UK

    Xin-She Yang

Authors
  1. Gebrail Bekdaş
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  2. Sinan Melih Nigdeli
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  3. Xin-She Yang
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Correspondence to Xin-She Yang .

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Editors and Affiliations

  1. School of Science and Technology, Middlesex University, London, United Kingdom

    Xin-She Yang

  2. Faculty of Engineering, Istanbul University Faculty of Engineering, Istanbul, Turkey

    Gebrail Bekdaş

  3. Department of Civil Engineering, Istanbul University, Istanbul, Turkey

    Sinan Melih Nigdeli

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Bekdaş, G., Nigdeli, S.M., Yang, XS. (2016). Optimum Reinforced Concrete Design by Harmony Search Algorithm. In: Yang, XS., Bekdaş, G., Nigdeli, S. (eds) Metaheuristics and Optimization in Civil Engineering. Modeling and Optimization in Science and Technologies, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-26245-1_8

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  • DOI: https://doi.org/10.1007/978-3-319-26245-1_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26243-7

  • Online ISBN: 978-3-319-26245-1

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