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J. Sib. Fed. Univ. Math. Phys., 2016, Volume 9, Issue 1, Pages 3–10 (Mi jsfu454)  

This article is cited in 2 scientific papers (total in 2 papers)

Collective bionic algorithm with biogeography based migration operator for binary optimization

Shakhnaz A. Akhmedova, Eugene S. Semenkin

Department of System Analysis and Operation Research, Reshetnev Siberian State Aerospace University, Krasnoyarskiy Rabochiy, 31, Krasnoyarsk, 660037, Russia

Abstract: The meta-heuristic called Co-Operation of Biology Related Algorithms (COBRA) developed earlier for solving real-valued optimization problems has also been modified for solving optimization problems with binary variables (COBRA-b). The algorithm COBRA-b is based on a collective work of five nature-inspired algorithms' binary modifications such as Particle Swarm Optimization (PSO), the Wolf Pack Search Algorithm (WPS), the Firefly Algorithm (FFA), the Cuckoo Search Algorithm (CSA) and Bat Algorithm (BA). Its usefulness and workability were demonstrated on various benchmarks, and COBRA-b also outperformed its components. But solving problems sometimes required too many function evaluations, so the COBRA-b migration operator was modified by integrating biogeography principles for the speedup of the algorithm. Numerical experiments showed that the new modification exhibits high performance and outperforms COBRA-b and therefore its components.

Keywords: biology inspired algorithms, biogeography, migration operator, optimization, binary variables.

Funding Agency Grant Number
Ministry of Education and Science of the Russian Federation 2.1889.2014/K
Research is performed with the financial support of the Ministry of Education and Science of the Russian Federation within the State Assignment for the Siberian State Aerospace University, project 2.1889.2014/K


DOI: https://doi.org/10.17516/1997-1397-2016-9-1-3-10

Full text: PDF file (98 kB)
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UDC: 517.9
Received: 26.11.2015
Received in revised form: 30.12.2015
Accepted: 25.01.2016
Language:

Citation: Shakhnaz A. Akhmedova, Eugene S. Semenkin, “Collective bionic algorithm with biogeography based migration operator for binary optimization”, J. Sib. Fed. Univ. Math. Phys., 9:1 (2016), 3–10

Citation in format AMSBIB
\Bibitem{AkhSem16}
\by Shakhnaz~A.~Akhmedova, Eugene~S.~Semenkin
\paper Collective bionic algorithm with biogeography based migration operator for binary optimization
\jour J. Sib. Fed. Univ. Math. Phys.
\yr 2016
\vol 9
\issue 1
\pages 3--10
\mathnet{http://mi.mathnet.ru/jsfu454}
\crossref{https://doi.org/10.17516/1997-1397-2016-9-1-3-10}


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    Citing articles on Google Scholar: Russian citations, English citations
    Related articles on Google Scholar: Russian articles, English articles

    This publication is cited in the following articles:
    1. Akhmedova Sh., Semenkin E., Stanovov V., “Fuzzy Rule-Based Classifier Design With Co-Operative Bionic Algorithm For Opinion Mining Problems”, Icinco: Proceedings of the 13Th International Conference on Informatics in Control, Automation and Robotics, Vol 1, eds. Gusikhin O., Peaucelle D., Madani K., Scitepress, 2016, 68–74  crossref  isi
    2. Sh. Akhmedova, V. Stanovov, E. Semenkin, “Fuzzy controlled cooperative bio-inspired algorithm for binary optimization”, Int. J. Inf. Technol. Secur., 10:2 (2018), 69–78  isi
  • Журнал Сибирского федерального университета. Серия "Математика и физика"
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