Work

Advanced Equilibrium Analysis in Game-Theoretic Models: Extending Evolutionary Algorithms to Complex Strategic Scenarios

Year: 2024

Type: article

Abstract: This article presents a comprehensive empirical and theoretical evaluation of an evolutionary optimization algorithm designed to locate multiple equilibria in game-theoretic models. Building upon a general-purpose framework established in [1], the algorithm is extended to complex strategic scenarios, including mixed strategies, dynamic environments, and high-dimensional strategy spaces. Its performance is rigorously analyzed across various models, examining the impact of parameters such as population size and mutation rate on convergence dynamics.

Source: Scientific Research Journal

DOI: 10.31364/scirj/v12.i10.2024.p10241000

Authors: Natalia Trankova, Olga Chumakova, Andrei Zhuk, Dmitrii Rykunov, Ivan Giganov, Yaroslav Starukhin, Ivan Serov

Institutions: Skolkovo Institute of Science and Technology, National Research University Higher School of Economics, University of Pennsylvania

Language: English

Topic: Game Theory and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W4407343333

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