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Swarm intelligence algorithms applicability for minimizing various functions
V. A. Galkinab, T. V. Gavrilenkoba, A. D. Smorodinovab, O. P. Bobrovskayaba a Surgut State University, Surgut, Russian Federation
b Surgut Branch of Federal State Institute “Scientific Research Institute for System Analysis of the Russian Academy of Sciences”, Surgut, Russian Federation
Abstract:
This study considers the existing swarm intelligence algorithms and their features. The particle swarm algorithm used for function optimization is described in detail. We adjusted various swarm algorithm properties (swarm size and lifetime) for minimizing functions of different classes, both with one and multiple minimums. It was found that the particle swarm algorithm is applicable to solving optimization problems.
Keywords:
swarm intelligence, swarm algorithm, particle swarm algorithm, function minimization, function maximization, function extremum seeking.
Citation:
V. A. Galkin, T. V. Gavrilenko, A. D. Smorodinov, O. P. Bobrovskaya, “Swarm intelligence algorithms applicability for minimizing various functions”, Russian Journal of Cybernetics, 3:4 (2022), 84–97
Linking options:
https://www.mathnet.ru/eng/uk31 https://www.mathnet.ru/eng/uk/v3/i4/p84
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Abstract page: | 22 | Full-text PDF : | 7 | References: | 4 |
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