Parallel Global Optimization Algorithm with Uniform Convergence for Solving a Set of Constrained Global Optimization Problems
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-65739-0_4
Reference21 articles.
1. Lecture Notes in Computer Science;K Barkalov,2017
2. Lecture Notes in Computer Science;K Barkalov,2017
3. Barkalov, K., Strongin, R.: Solving a set of global optimization problems by the parallel technique with uniform convergence. J. Global Optim. 71(1), 21–36 (2017). https://doi.org/10.1007/s10898-017-0555-4
4. Beiranvand, V., Hare, W., Lucet, Y.: Best practices for comparing optimization algorithms. Optim. Eng. 18(4), 815–848 (2017). https://doi.org/10.1007/s11081-017-9366-1
5. Dostl, Z.: Optimal Quadratic Programming Algorithms: With Applications to Variational Inequalities, 1st edn. Springer Publishing Company Incorporated (2009)
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