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Moth-Flame Optimization (MFO) Algorithm

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Advanced Optimization by Nature-Inspired Algorithms

Part of the book series: Studies in Computational Intelligence ((SCI,volume 720))

Abstract

This chapter introduces the Moth-Flame Optimization (MFO) algorithm, along with its applications and variations. The basic steps of the algorithm are explained in detail and a flowchart is represented. In order to better understand the algorithm, a pseudocode of the MFO is also included.

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Author information

Authors and Affiliations

  1. Department of Irrigation and Reclamation Engineering, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, University of Tehran, 31587-77871, Karaj, Tehran, Iran

    Mahdi Bahrami & Omid Bozorg-Haddad

  2. Department of Civil and Environmental Engineering, North Dakota State University, Dept 2470, Fargo, ND, 58108-6050, USA

    Xuefeng Chu

Authors
  1. Mahdi Bahrami
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  2. Omid Bozorg-Haddad
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  3. Xuefeng Chu
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Corresponding author

Correspondence to Omid Bozorg-Haddad .

Editor information

Editors and Affiliations

  1. Irrigation & Reclamation Engineering, University of Tehran College of Agriculture & Natural Resources, Karaj, Iran

    Omid Bozorg-Haddad

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Bahrami, M., Bozorg-Haddad, O., Chu, X. (2018). Moth-Flame Optimization (MFO) Algorithm. In: Bozorg-Haddad, O. (eds) Advanced Optimization by Nature-Inspired Algorithms. Studies in Computational Intelligence, vol 720. Springer, Singapore. https://doi.org/10.1007/978-981-10-5221-7_13

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  • DOI: https://doi.org/10.1007/978-981-10-5221-7_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5220-0

  • Online ISBN: 978-981-10-5221-7

  • eBook Packages: EngineeringEngineering (R0)

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