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,
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.
biology inspired algorithms, biogeography, migration operator, optimization, binary variables.
|Ministry of Education and Science of the Russian Federation
|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
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Received in revised form: 30.12.2015
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
\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.
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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
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
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