We studied the decision-making process of autonomous agents within the Electric Vehicle (EV) charging domain, where EV charging suppliers, acting as autonomous agents, interact to maximize their utilities in a shared environment. Initially, we modeled the suppliers’ utilities in an EV charging scenario as a non-cooperative game aimed at achieving Pareto-optimal outcomes. We then expanded this model to include two cooperative game approaches: Non-Overlapping Coalition Formation and Overlapping Coalition Formation. Our results indicate that allowing suppliers to form partial coalitions through the overlapping coalition formation model significantly enhances outcomes compared to both the non-overlapping coalition formation and non-cooperative models.

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Enhancing the Efficiency of Systems with Overlapping Coalition Formation

  • Jaber Valizadeh,
  • Dongmo Zhang,
  • Omar Mubin

摘要

We studied the decision-making process of autonomous agents within the Electric Vehicle (EV) charging domain, where EV charging suppliers, acting as autonomous agents, interact to maximize their utilities in a shared environment. Initially, we modeled the suppliers’ utilities in an EV charging scenario as a non-cooperative game aimed at achieving Pareto-optimal outcomes. We then expanded this model to include two cooperative game approaches: Non-Overlapping Coalition Formation and Overlapping Coalition Formation. Our results indicate that allowing suppliers to form partial coalitions through the overlapping coalition formation model significantly enhances outcomes compared to both the non-overlapping coalition formation and non-cooperative models.