An Evolutionary Model for Solving Multiplayer Noncooperative Games

نویسنده

  • RODICA LUNG
چکیده

Computing equilibria of multiplayer noncooperative normal form games is a difficult computational task. In games having more equilibria mathematical algorithms are not capable to detect all equilibria at a time. Evolutionary algorithms are powerful search tools for solving difficult optimization problems. It is shown how an evolutionary algorithm designed for multimodal optimization can be used for solving normal form games.

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تاریخ انتشار 2007