Article ID: | iaor20171898 |
Volume: | 67 |
Issue: | 3 |
Start Page Number: | 571 |
End Page Number: | 594 |
Publication Date: | Jul 2017 |
Journal: | Computational Optimization and Applications |
Authors: | Hieu Dang |
Keywords: | heuristics |
In this paper, three parallel hybrid subgradient extragradient algorithms are proposed for finding a common solution of a finite family of equilibrium problems in Hilbert spaces. The proposed algorithms originate from previously known results for variational inequalities and can be considered as modifications of extragradient methods for equilibrium problems. Theorems of strong convergence are established under the standard assumptions imposed on bifunctions. Some numerical experiments are given to illustrate the convergence of the new algorithms and to compare their behavior with other algorithms.