|
Scientific Research Journal |
|
|
Authors
Call for Papers Submission Guidelines Review Process Scirj Indexing APC Editors Editorial Board Publication Ethics Publications Research Journal Special Issue Thesis Monograph Resources RSS & Feeds Subscribe
Scirj, Volume XIII [2025]
December Issue [In Process] November Issue October Issue September Issue August Issue July Issue June Issue May Issue April Issue March Issue February Issue January Issue
Scirj, Volume XII [2024]
December Issue November Issue October Issue September Issue August Issue July Issue June Issue May Issue April Issue March Issue February Issue January Issue |
Scirj Volume XII, Issue X, October 2024 Edition ISSN: 2201-2796 
Advanced Equilibrium Analysis in Game-Theoretic Models: Extending Evolutionary Algorithms to Complex Strategic Scenarios
Natalia Trankova, Olga Chumakova, Andrei Zhuk, Dmitrii Rykunov, Ivan Giganov, Yaroslav Starukhin, Ivan Serov 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. Reference this Paper: Advanced Equilibrium Analysis in Game-Theoretic Models: Extending Evolutionary Algorithms to Complex Strategic Scenarios by Natalia Trankova, Olga Chumakova, Andrei Zhuk, Dmitrii Rykunov, Ivan Giganov, Yaroslav Starukhin, Ivan Serov published at: "Scientific Research Journal (Scirj), Volume XII, Issue X, October 2024 Edition, Page 1-12 ". Search Terms: Game theory, evolutionary algorithms, Nash equilibrium [Read Research Paper] [Full Screen] |
Archive