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Unified approach to approximate solutions in games and multiobjective programming

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Abstract

Using a theorem of Tijs, we derive results about approximate solutions for Nash equilibrium theory and for multiobjective problems. We describe conditions under which one can replace an infinite strategy set, an infinite alternative set, or an infinite set of criteria by a finite subset without losing all approximate solutions of the problem under consideration.

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References

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Communicated by P. L. Yu

This work was done during the period when the second author was Visiting Professor of the Italian National Research Council at the Mathematical Department of the University of Pavia, Pavia, Italy.

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Patrone, F., Tijs, S.H. Unified approach to approximate solutions in games and multiobjective programming. J Optim Theory Appl 52, 273–278 (1987). https://doi.org/10.1007/BF00941286

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