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Hybrid Taguchi-Harmony Search Approach for Shape Optimization

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Recent Advances In Harmony Search Algorithm

Part of the book series: Studies in Computational Intelligence ((SCI,volume 270))

Abstract

Harmony search algorithms have recently gained a lot of attention from the optimization research community. In this chater, a new optimization approach based on harmony search algorithm and Taguchi’s method is presented to solve shape optimization problems. The validity and efficiency of the proposed approach are evaluated in an optimum design problem of a vehicle component by illustrating how the present approach can be applied for solving shape optimization problems. The first application of harmony search algorithm to the shape optimization problems in the literature is presented in this chapter. The results of the shape optimization problem indicate that the proposed approach is highly competitive and it can be considered as a viable alternative in solving real-world optimization problems, finding beter solutions compared to other approaches that are representative of the state-of-the-art in the optimization literature.

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Author information

Authors and Affiliations

  1. Mechanical Engineering Department, Uludag University, Bursa, Turkey

    Ali Rıza Yildiz & Ferruh Öztürk

Authors
  1. Ali Rıza Yildiz
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  2. Ferruh Öztürk
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Editor information

Editors and Affiliations

  1. iGlobal University, 7700 Little River Tpke. #600, Annandale, 22003, Virginia, USA

    Zong Woo Geem

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Yildiz, A.R., Öztürk, F. (2010). Hybrid Taguchi-Harmony Search Approach for Shape Optimization. In: Geem, Z.W. (eds) Recent Advances In Harmony Search Algorithm. Studies in Computational Intelligence, vol 270. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04317-8_8

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  • DOI: https://doi.org/10.1007/978-3-642-04317-8_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04316-1

  • Online ISBN: 978-3-642-04317-8

  • eBook Packages: EngineeringEngineering (R0)

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