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Cooperative Model for Nature-Inspired Algorithms in Solving Real-World Optimization Problems

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Bioinspired Optimization Methods and Their Applications (BIOMA 2018)

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Abstract

A cooperative model of eight popular nature-inspired algorithms (CoNI) is proposed and compared with the original algorithms on benchmark set CEC 2011 collection of 22 real-world optimization problems. The results of experiments demonstrate the superiority of CoNI variant in the most of the real-world problems although some of original nature-inspired algorithms perform rather poorly. Proposed CoNI shares the best position in 20 out of 22 problems and achieves the best results in 8 out 22 test problems. Further fundamental points for improvement of CoNI are in selection of topology, migration policy, and migration frequency.

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Author information

Authors and Affiliations

  1. Department of Informatics and Computers, University of Ostrava, 30. dubna 22, 70200, 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. Computer Systems Department, Jožef Stefan Institute, Ljubljana, Slovenia

    Peter Korošec

  2. University of Lille, Lille, France

    Nouredine Melab

  3. University of Lille, Lille, France

    El-Ghazali Talbi

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Bujok, P. (2018). Cooperative Model for Nature-Inspired Algorithms in Solving Real-World Optimization Problems. In: Korošec, P., Melab, N., Talbi, EG. (eds) Bioinspired Optimization Methods and Their Applications. BIOMA 2018. Lecture Notes in Computer Science(), vol 10835. Springer, Cham. https://doi.org/10.1007/978-3-319-91641-5_5

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  • DOI: https://doi.org/10.1007/978-3-319-91641-5_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91640-8

  • Online ISBN: 978-3-319-91641-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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