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Harmony Search Algorithm pp 155–168Cite as

Mine Blast Harmony Search and Its Applications

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 382))

Abstract

A hybrid optimization method that combines the power of the harmony search (HS) algorithm with the mine blast algorithm (MBA) is presented in this study. The resulting mine blast harmony search (MBHS) utilizes the MBA for exploration and the HS for exploitation. The HS is inspired by the improvisation process of musicians, while the MBA is derived based on explosion of landmines. The HS used in the proposed hybrid method is an improved version, introducing a new concept for the harmony memory (HM) (i.e., dynamic HM), while the MBA is modified in terms of its mathematical formulation. Several benchmarks with many design variables are used to validate the MBHS, and the optimization results are compared with other algorithms. The obtained optimization results show that the proposed hybrid algorithm provides better exploitation ability (particularly in final iterations) and enjoys fast convergence to the optimum solution.

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Author information

Authors and Affiliations

  1. Research Center for Disaster Prevention Science and Technology, Korea University, Seoul, 136-713, South Korea

    Ali Sadollah & Do Guen Yoo

  2. School of Civil, Environmental, and Architectural Engineering, Korea University, Seoul, 136-713, South Korea

    Ho Min Lee & Joong Hoon Kim

Authors
  1. Ali Sadollah
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  2. Ho Min Lee
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  3. Do Guen Yoo
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  4. Joong Hoon Kim
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Corresponding author

Correspondence to Joong Hoon Kim .

Editor information

Editors and Affiliations

  1. Civil, Environmental and Architectural Engineering, Korea University, Seoul, Korea (Republic of)

    Joong Hoon Kim

  2. Energy IT, Gachon University, Seongnam-Si, Korea (Republic of)

    Zong Woo Geem

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© 2016 Springer-Verlag Berlin Heidelberg

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Sadollah, A., Lee, H.M., Yoo, D.G., Kim, J.H. (2016). Mine Blast Harmony Search and Its Applications. In: Kim, J., Geem, Z. (eds) Harmony Search Algorithm. Advances in Intelligent Systems and Computing, vol 382. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47926-1_16

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  • DOI: https://doi.org/10.1007/978-3-662-47926-1_16

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47925-4

  • Online ISBN: 978-3-662-47926-1

  • eBook Packages: EngineeringEngineering (R0)

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