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Solution of Cooperative Game based on Particle Swarm Optimization (PSO) with Uncertain Alliance

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DOI: 10.23977/emsd.2019.021


Zhuangkuo Li, Shuipeng Chen

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Zhuangkuo Li


In traditional solution of cooperative game, it is usually assumed that alliance income is determined or the players agree on the value of alliance income. The income of alliance is often uncertain and the opinions of the players on the value of alliance income are inconsistent. In this case, this paper first describes the benefits of the players when alliance income is uncertain, and establishes the extended model of the cooperative game. Then, considering the rational negotiation and decision game of players, the model is solved in two stages based on the particle swarm optimization algorithm. This paper provides new ideas and methods for solving the cooperative game in uncertainty alliance income.


Cooperative game, uncertainty, Particle swarm optimization, negotiation, alliance income

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