Geodesic
Optimization of multiextreme functions by means of hybrid genetic algorithms
Izvestiya Instituta Matematiki i Informatiki Udmurtskogo Gosudarstvennogo Universiteta, Tome 36 (2006) no. 2, pp. 163-166.

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In work minimization of multiextreme functions by means of the hybrid genetic algorithms uniting advantages of genetic algorithm and classical methods of optimization is considered. 
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S. V. Dmitriev; V. A. Tenenev. Optimization of multiextreme functions by means of hybrid genetic algorithms. Izvestiya Instituta Matematiki i Informatiki Udmurtskogo Gosudarstvennogo Universiteta, Tome 36 (2006) no. 2, pp. 163-166. http://geodesic.mathdoc.fr/item/IIMI_2006_36_2_a37/

[1] Tenenev V. A., Paklin N. B., “Gibridnyi geneticheskii algoritm s dopolnitelnym obucheniem lidera”, Intellektualnye sistemy v proizvodstve, 2003, no. 2, 181–206

[2] Dmitriev S. V., Tenenev V. A., “Primenenie pryamykh metodov optimizatsii v gibridnom geneticheskom algoritme”, Intellektualnye sistemy v proizvodstve, 2005, no. 2, 11–22

[3] Lesin V. V., Lisovets Yu. P., Osnovy metodov optimizatsii, Izd-vo MAI, M., 1995, 344 pp.