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Performance of Migrating Birds Optimization Algorithm on Continuous Functions

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Advances in Swarm Intelligence (ICSI 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8795))

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Abstract

In this study, we evaluate the performance of a recently proposed metaheuristic on several well-known functions. The objective of this evaluation is to participate in a competition where several metaheuristics are compared. The metaheuristic we exploit is the recently proposed migrating birds optimization (MBO) algorithm. Our contribution in this study is to develop a novel neighbor generating function for MBO to be used in multidimensional continuous spaces. After a set of preliminary tests presenting the best performing values of the parameters, the results of computational experiments are given in 2, 10 and 30 dimensions.

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References

  1. Duman, E., Uysal, M., Alkaya, A.F.: Migrating Birds Optimization: A New Metaheuristic Approach and Its Performance on Quadratic Assignment Problem. Information Sciences 217, 65–77 (2012)

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  2. Duman, E., Elikucuk, I.: Solving Credit Card Fraud Detection Problem by the New Metaheuristics Migrating Birds Optimization. In: Rojas, I., Joya, G., Cabestany, J. (eds.) IWANN 2013, Part II. LNCS, vol. 7903, pp. 62–71. Springer, Heidelberg (2013)

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  3. Website of Fifth International Conference on Swarm Intelligence, http://www.ic-si.org/competition

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Marmara University, Istanbul, Turkey

    Ali Fuat Alkaya, Ramazan Algin & Mustafa Agaoglu

  2. Department of Electrical and Electronics Engineering, Marmara University, Istanbul, Turkey

    Yusuf Sahin

  3. Department of Industrial Engineering, Istanbul Sehir University, Istanbul, Turkey

    Vural Aksakalli

Authors
  1. Ali Fuat Alkaya
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  2. Ramazan Algin
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  3. Yusuf Sahin
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  4. Mustafa Agaoglu
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  5. Vural Aksakalli
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Editor information

Editors and Affiliations

  1. Key Laboratory of Machine Perception (MOE), Peking University, 100871, Beijing, China

    Ying Tan

  2. Department of Electrical & Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China

    Yuhui Shi

  3. Computer Science Department, CINVESTAV-IPN, Mexico

    Carlos A. Coello Coello

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Alkaya, A.F., Algin, R., Sahin, Y., Agaoglu, M., Aksakalli, V. (2014). Performance of Migrating Birds Optimization Algorithm on Continuous Functions. In: Tan, Y., Shi, Y., Coello, C.A.C. (eds) Advances in Swarm Intelligence. ICSI 2014. Lecture Notes in Computer Science, vol 8795. Springer, Cham. https://doi.org/10.1007/978-3-319-11897-0_51

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  • DOI: https://doi.org/10.1007/978-3-319-11897-0_51

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11896-3

  • Online ISBN: 978-3-319-11897-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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