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GENETIC ALGORITHMS OF WORK DISTRIBUTION

Abstract

The tasks of heterogeneous work distribution among heterogeneous executors taking into account operation and switching process costs are investigated. Genetic algorithms of work distribution that can be used for solving various practical tasks both in the automated processes and in social systems are offered.

About the Authors

Andrey R. Aidinyan
Don State Technical University
Russian Federation


Olga L. Tsvetkova
Don State Technical University
Russian Federation


References

1. Emel`yanov V.V. Teoriya i praktika e`volyucionnogo modelirovaniya / V.V. Emel`yanov, V.V. Kurejchik, V.M. Kurejchik. – M.: Fizmatlit, 2003. – 432 s. – In Russian.

2. Reklejtis G. Optimizaciya v texnike (v 2 kn.) / G. Reklejtis, A. Rejvindran, K. Re`ksdel. – M.: Mir, 1988. – 348 s. – In Russian.

3. Rutkovskaya D. Nejronny`e seti, geneticheskie algoritmy` i nechyotkie sistemy` / D. Rutkovskaya, M. Pilinskij, L. Rutkovskij. – M.: Goryachaya liniya – Telekom, 2006. – 452 s. – In Russian.


Review

For citations:


Aidinyan A.R., Tsvetkova O.L. GENETIC ALGORITHMS OF WORK DISTRIBUTION. Vestnik of Don State Technical University. 2011;11(5):723-729. (In Russ.)

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ISSN 2687-1653 (Online)