Received 10.12.2014, Revised 18.02.2015, Accepted 06.04.2015

Comparative analysis of the effectiveness of genetic and "bee" algorithms in the problem of structural identification of an interval difference operator

Nataliia Porplytsia

In the paper, the comparative analysis of the computational complexity of using the genetic and the "bee’s" algorithms  for structure identification in solving the problem of structure identification of interval difference operator (IDO) for constructing the mathematical models of the distribution the humidity on the surface of the drywall sheet on the final stage of manufacture was held. The results of the comparative analysis showed, that the computational complexity of the implementation of the method of structure identification IВO based on the bee colonies algorithm is lower than the computational complexity of implementing the method based on genetic algorithms

structure identification, difference operator, artificial bee colony algorithm, swarm intelligence, interval data
55-67
Porplytsia, N. (2015). Comparative analysis of the effectiveness of genetic and "bee" algorithms in the problem of structural identification of an interval difference operator. Information Technologies and Computer Engineering, 12(1), 55-67.

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