continuous global optimization and applications, high performance computing.
Sequential and parallel global optimization methods and applications.
Sergeyev Ya. D., Kvasov D. E., Diagonal Global Optimization Methods, FizMatLit, Moscow, 2008, 352 pages, ISBN 978-5-9221-1032-7 (in Russian)
Sergeyev Ya. D., Kvasov D. E., “Global search based on efficient diagonal partitions and a set of Lipschitz constants”, SIAM Journal on Optimization, 16:3 (2006), 910–937
Gaviano M., Kvasov D. E., Lera D., Sergeyev Ya. D., “Algorithm 829: Software for generation of classes of test functions with known local and global minima for global optimization”, ACM Transactions on Mathematical Software, 29:4 (2003), 469–480
Kvasov D. E., Pizzuti C., Sergeyev Ya. D., “Local tuning and partition strategies for diagonal GO methods”, Numerische Mathematik, 94:1 (2003), 93–106
Kvasov D. E., Sergeyev Ya. D., “Multidimensional global optimization algorithm based on adaptive diagonal curves”, Computational Mathematics and Mathematical Physics, 43:1 (2003), 40–56
D. E. Kvasov, Ya. D. Sergeyev, “Lipschitz global optimization methods in control problems”, Avtomat. i Telemekh., 2013, 9, 3–19; Autom. Remote Control, 74:9 (2013), 1435–1448
D. E. Kvasov, Ya. D. Sergeyev, “A multidimensional global optimization algorithm based on adaptive diagonal curves”, Zh. Vychisl. Mat. Mat. Fiz., 43:1 (2003), 42–59; Comput. Math. Math. Phys., 43:1 (2003), 40–56