Global optimization method with dual Lipschitz constant estimates for problems with non-convex constraints-Reference-Cited by-同舟云学术

Global optimization method with dual Lipschitz constant estimates for problems with non-convex constraints

Published:2020-06-15 Issue:16 Volume:24 Page:11853-11865
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Strongin Roman,Barkalov Konstantin^ORCID,Bevzuk Semen

Funder

Russian Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-020-05078-1.pdf

Reference42 articles.

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2. Barkalov KA, Lebedev IG (2017b) Parallel algorithm for solving constrained global optimization problems. Lecture Notes Comput Sci 10421:396–404

3. Barkalov KA, Strongin RG (2002) A global optimization technique with an adaptive order of checking for constraints. Comput Math Math Phys 42(9):1289–1300

4. Barkalov KA, Strongin RG (2018) Solving a set of global optimization problems by the parallel technique with uniform convergence. J Glob Optim 71(1):21–36

5. Di Pillo G, Lucidi S, Rinaldi F (2012) An approach to constrained global optimization based on exact penalty functions. J Glob Optim 54:251–260

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