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A self-adaptive extragradient–CQ method for a class of bilevel split equilibrium problem with application to Nash Cournot oligopolistic electricity market models

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Abstract

Van Quy (Optimization 68(4):753–771, 2018) established an extragradient–CQ algorithm for solving a class of bilevel split equilibrium problem. The step-size in the algorithm requires computation of a certain matrix norm which is costly. Moreover, bilevel problems often possess huge number of constraints and possibly require a robust and adaptive step-size algorithm to withstand failure in instances of real-world problems with large data sizes. In this paper, we propose a self-adaptive step-size extragradient–CQ algorithm for solving the same problem without prior knowledge of operator norm and provide a numerical example to demonstrate the effectiveness of our method.

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Acknowledgements

The authors are grateful to the editor and anonymous referees for their valuable suggestions and constructive comments which have improved this paper. Yusuf I. Suleiman is grateful to King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok 10140, Thailand, for providing state of the art research facilities to carry out this research work during his bench work in KMUTT. The second author, Habib ur Rehman is grateful for the support of the Petchra Pra Jom Klao Ph.D. Research Scholarship Board, KMUTT. Furthermore, this project was supported by the Center of Excellence in Theoretical and Computational Science (TaCS-CoE), KMUTT.

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Suleiman, Y.I., ur Rehman, H., Gibali, A. et al. A self-adaptive extragradient–CQ method for a class of bilevel split equilibrium problem with application to Nash Cournot oligopolistic electricity market models. Comp. Appl. Math. 39, 293 (2020). https://doi.org/10.1007/s40314-020-01338-w

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