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Improved error bound and a hybrid method for generalized Nash equilibrium problems

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  • Axel Dreves

    (Universität der Bundeswehr München)

Abstract

We exploit a recently proposed local error bound condition for a nonsmooth reformulation of the Karush–Kuhn–Tucker conditions of generalized Nash equilibrium problems (GNEPs) to weaken the theoretical convergence assumptions of a hybrid method for GNEPs that uses a smooth reformulation. Under the presented assumptions the hybrid method, which combines a potential reduction algorithm and an LP-Newton method, has global and fast local convergence properties. Furthermore we adapt the algorithm to a nonsmooth reformulation, prove under some additional strong assumptions similar convergence properties as for the smooth reformulation, and compare the two approaches.

Suggested Citation

  • Axel Dreves, 2016. "Improved error bound and a hybrid method for generalized Nash equilibrium problems," Computational Optimization and Applications, Springer, vol. 65(2), pages 431-448, November.
    • Handle: RePEc:spr:coopap:v:65:y:2016:i:2:d:10.1007_s10589-014-9699-z
    DOI: 10.1007/s10589-014-9699-z
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    References listed on IDEAS

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    1. Axel Dreves & Christian Kanzow & Oliver Stein, 2012. "Nonsmooth optimization reformulations of player convex generalized Nash equilibrium problems," Journal of Global Optimization, Springer, vol. 53(4), pages 587-614, August.
    2. Masao Fukushima, 2011. "Restricted generalized Nash equilibria and controlled penalty algorithm," Computational Management Science, Springer, vol. 8(3), pages 201-218, August.
    3. Axel Dreves & Anna Heusinger & Christian Kanzow & Masao Fukushima, 2013. "A globalized Newton method for the computation of normalized Nash equilibria," Journal of Global Optimization, Springer, vol. 56(2), pages 327-340, June.
    4. Jong-Shi Pang & Masao Fukushima, 2009. "Quasi-variational inequalities, generalized Nash equilibria, and multi-leader-follower games," Computational Management Science, Springer, vol. 6(3), pages 373-375, August.
    5. K. Kubota & M. Fukushima, 2010. "Gap Function Approach to the Generalized Nash Equilibrium Problem," Journal of Optimization Theory and Applications, Springer, vol. 144(3), pages 511-531, March.
    6. Francisco Facchinei & Christian Kanzow, 2010. "Generalized Nash Equilibrium Problems," Annals of Operations Research, Springer, vol. 175(1), pages 177-211, March.
    7. Han, Deren & Zhang, Hongchao & Qian, Gang & Xu, Lingling, 2012. "An improved two-step method for solving generalized Nash equilibrium problems," European Journal of Operational Research, Elsevier, vol. 216(3), pages 613-623.
    8. Jong-Shi Pang & Masao Fukushima, 2005. "Quasi-variational inequalities, generalized Nash equilibria, and multi-leader-follower games," Computational Management Science, Springer, vol. 2(1), pages 21-56, January.
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    Cited by:

    1. Simone Sagratella, 2017. "Algorithms for generalized potential games with mixed-integer variables," Computational Optimization and Applications, Springer, vol. 68(3), pages 689-717, December.

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