Augmented Lagrangian Approach for Constrained Potential Nash Games

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Abstract

An approach to the resolution of inequality constrained potential games based on a dual problem is here presented. The dual problem is solved by using a two-level optimization iterative scheme based on a linear program for the dual problem and a classical hybrid evolutionary approach for the primal problem. An application to a facility location problem in presence of obstacles is described.

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Mallozzi, L., & Quagliarella, D. (2019). Augmented Lagrangian Approach for Constrained Potential Nash Games. In Computational Methods in Applied Sciences (Vol. 48, pp. 269–282). Springer Netherland. https://doi.org/10.1007/978-3-319-89988-6_16

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