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Hierarchical Topology in Parallel Differential Evolution

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Numerical Methods and Applications (NMA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8962))

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Abstract

A new differential evolution (DE) algorithm with a parallel hierarchical topology (HDE) is proposed. The main goal of the paper is to study how the performance of the algorithm is influenced by the use of parallel migration model. The hierarchical model has several control parameters and the influence of these parameters setting is also studied. The performance of HDE algorithm is compared with non-parallel DE algorithm on CEC2013 benchmark suite. Experimental results show that the HDE outperforms the non-parallel DE algorithm significantly in 27 out of 28 test problems.

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Acknowledgments

This work was supported by the University of Ostrava from the project SGS15/PřF/2014.

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Authors and Affiliations

  1. Department of Informatics and Computers, Faculty of Computer Science, University of Ostrava, 30. dubna 22, 70103, Ostrava, Czech Republic

    Petr Bujok

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  1. Petr Bujok
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Correspondence to Petr Bujok .

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Editors and Affiliations

  1. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Ivan Dimov

  2. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Stefka Fidanova

  3. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Ivan Lirkov

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Bujok, P. (2015). Hierarchical Topology in Parallel Differential Evolution. In: Dimov, I., Fidanova, S., Lirkov, I. (eds) Numerical Methods and Applications. NMA 2014. Lecture Notes in Computer Science(), vol 8962. Springer, Cham. https://doi.org/10.1007/978-3-319-15585-2_7

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  • DOI: https://doi.org/10.1007/978-3-319-15585-2_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15584-5

  • Online ISBN: 978-3-319-15585-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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