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.
Augmented Lagrangian Approach for Constrained Potential Nash Games / Mallozzi, Lina; Quagliarella, Domenico. - 48:(2019), pp. 269-282. [10.1007/978-3-319-89988-6_16]
Augmented Lagrangian Approach for Constrained Potential Nash Games
Mallozzi, Lina;
2019
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.File in questo prodotto:
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