Lipschitzian optimization without the Lipschitz constant
Journal of Optimization Theory and Applications
Journal of Optimization Theory and Applications
SIAM Journal on Optimization
A Locally-Biased form of the DIRECT Algorithm
Journal of Global Optimization
ACM Transactions on Mathematical Software (TOMS)
Global Search Based on Efficient Diagonal Partitions and a Set of Lipschitz Constants
SIAM Journal on Optimization
Global Optimization with Non-Convex Constraints - Sequential and Parallel Algorithms (Nonconvex Optimization and its Applications Volume 45) (Nonconvex Optimization and Its Applications)
Technical Communique: A global optimization technique for checking parametric robustness
Automatica (Journal of IFAC)
Lipschitz gradients for global optimization in a one-point-based partitioning scheme
Journal of Computational and Applied Mathematics
Hi-index | 0.00 |
Many control problems involve the search for the global extremum in the space of states or the parameters of the system under study, which leads to the necessity of using effective methods of global finite-dimensional optimization. For this purpose use can be made of the geometric algorithms of Lipschitz global optimization, which are developed by the authors. A brief review of these algorithms is presented and they are compared with some algorithms of global search that are often used in technical practice. Numerical experiments are performed on a few known examples of applied multiextremal problems.