Genetic Algorithm for Repeated Prisoner’s Dilemma Full article
| Conference |
XXIV International conference “Mathematical Optimization Theory and Operations Research” 07-11 Jul 2025 , Новосибирск |
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| Source | Mathematical Optimization Theory and Operations Research : 24th International Conference, MOTOR 2025, Novosibirsk, Russia, July 7–11, 2025, Proceedings Compilation, Springer Nature. Switzerland.2025. 405 c. ISBN 978-3-031-97077-1. |
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| Journal |
Lecture Notes in Computer Science
ISSN: 0302-9743 , E-ISSN: 1611-3349 |
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| Output data | Year: 2025, Volume: 15681, Pages: 208-218 Pages count : 11 DOI: 10.1007/978-3-031-97077-1_15 | ||||
| Tags | Prisoner’s dilemma, Strategies, Evolution of strategies, Survivability of strategies | ||||
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| Affiliations |
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Funding (1)
| 1 | Russian Science Foundation | 25-21-00335 |
Abstract:
The paper deals with the repeated prisoner’s dilemma and evolving strategies for this game. For evolving strategies, an algorithm has been developed that simulates the evolution of strategies in an iterated prisoner’s dilemma, using selection, mutation and crossover operators. A new crossover operator has been developed to maximize the total population gain in the repeated prisoner’s dilemma
Cite:
Gruzdev N.A.
Genetic Algorithm for Repeated Prisoner’s Dilemma
In compilation Mathematical Optimization Theory and Operations Research : 24th International Conference, MOTOR 2025, Novosibirsk, Russia, July 7–11, 2025, Proceedings. – Springer Nature., 2025. – C.208-218. – ISBN 978-3-031-97077-1. DOI: 10.1007/978-3-031-97077-1_15 Scopus OpenAlex
Genetic Algorithm for Repeated Prisoner’s Dilemma
In compilation Mathematical Optimization Theory and Operations Research : 24th International Conference, MOTOR 2025, Novosibirsk, Russia, July 7–11, 2025, Proceedings. – Springer Nature., 2025. – C.208-218. – ISBN 978-3-031-97077-1. DOI: 10.1007/978-3-031-97077-1_15 Scopus OpenAlex
Dates:
| Published print: | Aug 7, 2025 |
| Published online: | Aug 7, 2025 |
Identifiers:
| ≡ Scopus: | 2-s2.0-105010833475 |
| ≡ OpenAlex: | W4412044090 |