Abstract
The effectiveness of using the local search algorithm (mountain climbing) and the Lemke–Howson method for searching for Nash equilibrium in 4-person games in general and multi-matrix settings using the Matlab, Python, and FORTRAN software environments are studied. The local search procedure implemented in the Python environment, involving the use of multiplication of a multi-dimensional matrix by a vector, turned out to be an effective tool. The modification of the Lemke–Howson method for multi-matrix formulation showed very good results.
The work was supported by the Russian Foundation for Basic Research (project No. 20-010-00169a).
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Malkov, U., Malkova, V. (2020). Effectiveness of Nash Equilibrium Search Algorithms in Four-Person Games in General and Multi-matrix Settings. In: Olenev, N., Evtushenko, Y., Khachay, M., Malkova, V. (eds) Advances in Optimization and Applications. OPTIMA 2020. Communications in Computer and Information Science, vol 1340. Springer, Cham. https://doi.org/10.1007/978-3-030-65739-0_15
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