Adaptive Global Optimization Based on a Block-Recursive Dimensionality Reduction Scheme
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Roman G. Strongin | Victor P. Gergel | Konstantin A. Barkalov | V. Gergel | R. Strongin | K. Barkalov
[1] J D Pinter,et al. Global Optimization in Action—Continuous and Lipschitz Optimization: Algorithms, Implementations and Applications , 2010 .
[2] Yu. G. Evtushenko,et al. Parallelization of the global extremum searching process , 2007 .
[3] Vladimir A. Grishagin,et al. Comparative efficiency of dimensionality reduction schemes in global optimization , 2016 .
[4] Y. Evtushenko. Numerical methods for finding global extrema (Case of a non-uniform mesh) , 1971 .
[5] Y. Sergeyev,et al. Parallel Asynchronous Global Search and the Nested Optimization Scheme , 2001 .
[6] Vladimir A. Grishagin,et al. Parallel Characteristical Algorithms for Solving Problems of Global Optimization , 1997, J. Glob. Optim..
[7] Yaroslav D. Sergeyev,et al. Algorithm 829: Software for generation of classes of test functions with known local and global minima for global optimization , 2003, TOMS.
[8] V. U. Malkova,et al. Parallel global optimization of functions of several variables , 2009 .
[9] Dmitri E. Kvasov,et al. Metaheuristic vs. deterministic global optimization algorithms: The univariate case , 2018, Appl. Math. Comput..
[10] Y. D. Sergeyev,et al. Global Optimization with Non-Convex Constraints - Sequential and Parallel Algorithms (Nonconvex Optimization and its Applications Volume 45) (Nonconvex Optimization and Its Applications) , 2000 .
[11] Vladimir A. Grishagin,et al. Parallel Dimensionality Reduction for Multiextremal Optimization Problems , 2019, PaCT.
[12] S. A. Piyavskii. An algorithm for finding the absolute extremum of a function , 1972 .
[13] Julius Zilinskas,et al. Advantages of simplicial partitioning for Lipschitz optimization problems with linear constraints , 2014, Optimization Letters.
[14] C. D. Perttunen,et al. Lipschitzian optimization without the Lipschitz constant , 1993 .
[15] Ya D Sergeyev,et al. On the efficiency of nature-inspired metaheuristics in expensive global optimization with limited budget , 2018, Scientific Reports.
[16] Vladimir A. Grishagin,et al. Adaptive nested optimization scheme for multidimensional global search , 2016, J. Glob. Optim..
[17] Vladimir A. Grishagin,et al. Convergence conditions and numerical comparison of global optimization methods based on dimensionality reduction schemes , 2018, Appl. Math. Comput..
[18] Vladislav Sovrasov,et al. Comparison of Several Stochastic and Deterministic Derivative-Free Global Optimization Algorithms , 2019, MOTOR.
[19] Yaroslav D. Sergeyev,et al. Lipschitz global optimization methods in control problems , 2013, Autom. Remote. Control..
[20] Ilya Lebedev,et al. Solving Multidimensional Global Optimization Problems Using Graphics Accelerators , 2016 .
[21] Vladimir A. Grishagin,et al. Local Tuning in Nested Scheme of Global Optimization , 2015, ICCS.
[22] B. Shubert. A Sequential Method Seeking the Global Maximum of a Function , 1972 .
[23] Julius Zilinskas,et al. Investigation of selection strategies in branch and bound algorithm with simplicial partitions and combination of Lipschitz bounds , 2010, Optim. Lett..
[24] Mikhail Posypkin,et al. A deterministic approach to global box-constrained optimization , 2012, Optimization Letters.
[25] R. Strongin,et al. A method for solving multi-extremal problems with non-convex constraints, that uses a priori information about estimates of the optimum , 1988 .
[26] Julius Žilinskas,et al. Branch and bound with simplicial partitions for global optimization , 2008 .