Geodesic
Локальный поиск со сглаживающей аппроксимацией в гибридном алгоритме глобальной оптимизации
Matematicheskoe Modelirovanie i Kraevye Zadachi, Proceedings of the Sixth All-Russian Scientific Conference with international participation (1–4 June 2009). Part 2, Tome 2 (2009), pp. 191-195.

Voir la notice de l'article provenant de la source Math-Net.Ru

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V. D. Sulimov; P. M. Shkapov. Локальный поиск со сглаживающей аппроксимацией в гибридном алгоритме глобальной оптимизации. Matematicheskoe Modelirovanie i Kraevye Zadachi, Proceedings of the Sixth All-Russian Scientific Conference with international participation (1–4 June 2009). Part 2, Tome 2 (2009), pp. 191-195. http://geodesic.mathdoc.fr/item/MMKZ_2009_2_a56/

[1] Kinelev V. G., Shkapov P. M., Sulimov V. D., “Application of global optimization to VVER-1000 reactor diagnostics”, Progress in Nuclear Energy, 43:1–4 (2003), 51–56 | DOI

[2] Sacco W. F., de Oliveira C.R.E., Pereira C.M.N.A., “Two stochastic algorithms applied to nuclear reactor core design”, Progress in Nuclear Energy, 48:6 (2006), 525–539 | DOI

[3] Sulimov V. D., Shkapov P. M., “Sglazhivayuschaya approksimatsiya v zadachakh vektornoi nedifferentsiruemoi optimizatsii mekhanicheskikh i gidromekhanicheskikh sistem”, Vestn. MGTU im. Bumana. Ser. Estestv. nauki, 2006, no. 2, 17–30

[4] Pshenichnyj B.N., The Linearization Method for Constrained Optimization, Springer-Verlag, Berlin et al., 1994, 174 pp.

[5] Sulimov V. D., Shkapov P. M., “Stokhasticheskie algoritmy globalnoi optimizatsii dlya intellektualnykh sistem podderzhki prinyatiya diagnosticheskikh reshenii”, Kibernetika i vysokie tekhnologii XXI veka, IX Mezhdunarodnaya nauchno-tekhnicheskaya konferentsiya, v. 1, SAKVOEE, Voronezh, 2008, 253–257