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International Conference on Harmony Search Algorithm

ICHSA 2017: Harmony Search Algorithm pp 222–231Cite as

Optimum Tuning of Mass Dampers by Using a Hybrid Method Using Harmony Search and Flower Pollination Algorithm

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 514))

Abstract

In this study, a new approach is proposed for optimization of tuned mass damper positioned on the top of seismic structures. The usage of metaheuristic algorithms is a well-known and effective technique for optimum tuning of parameters such as mass, period and damping ratio. The aim of the study is to generate a new methodology in order to improve the computation capacity and precision of the final results. For that reason, harmony search (HS) and flower pollination algorithm (FPA) are hybridized by proposing a probability based approach. In the methodology, global and local search processes of HS are used together with global and local pollination stages of FPA. In that case, four different types of generation are used. In the methodology, these four types of generation have the same chance at the start of the optimization process and probabilities are reduced when the corresponding type of the generation is chosen. If an improvement is provided for the objective of the optimization, the probability of the effective type is increased. The proposed method has an effective convergence by providing improvement of the optimization objective comparing to classical FPA.

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Author information

Authors and Affiliations

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

    Sinan Melih Nigdeli & Gebrail Bekdaş

  2. Design Engineering and Mathematics, Middlesex University London, The Burroughs, London, NW4 4BT, UK

    Xin-She Yang

Authors
  1. Sinan Melih Nigdeli
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  2. Gebrail Bekdaş
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  3. Xin-She Yang
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Corresponding author

Correspondence to Sinan Melih Nigdeli .

Editor information

Editors and Affiliations

  1. TECNALIA, University of the Basque Country ‎(UPV/EHU), Basque Center for Applied Mathematics (BCAM‎), Bilbao, Spain

    Javier Del Ser

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Nigdeli, S.M., Bekdaş, G., Yang, XS. (2017). Optimum Tuning of Mass Dampers by Using a Hybrid Method Using Harmony Search and Flower Pollination Algorithm. In: Del Ser, J. (eds) Harmony Search Algorithm. ICHSA 2017. Advances in Intelligent Systems and Computing, vol 514. Springer, Singapore. https://doi.org/10.1007/978-981-10-3728-3_22

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  • DOI: https://doi.org/10.1007/978-981-10-3728-3_22

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3727-6

  • Online ISBN: 978-981-10-3728-3

  • eBook Packages: EngineeringEngineering (R0)

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