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Consensus-Based Multipopulation Game Dynamics for Distributed Nash Equilibria Seeking and Optimization
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DOI：10.1109/TSMC.2022.3188266.png)
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摘要
En 中文
In this article, a consensus-based multipopulation game dynamics approach is proposed for distributed Nash equilibria seeking and optimization. The approach is fundamentally different from existing population dynamics from that: 1) the underlying communication network underlying the population game dynamics could be arbitrary undirected connected graph and more importantly 2) the proposed approach works in a distributed manner even when the objective functions of players are strongly coupled with each other. The proposed approach greatly extends the applicability of population game dynamics in distributed optimization and learning problems. A distributed constrained optimization problem and a traffic routing problem are utilized to illustrate the feasibility of the proposed multipopulation game dynamics approach.
Keyword:
Statistics
Sociology
Games
Couplings
Optimization
Switches
Nash equilibrium
Distributed learning
distributed optimization
Nash equilibrium seeking
population dynamics
期刊
IF:
10.5
论文数:
1.1W
被引数:
5.0W
机构
引用论文
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Distributed Optimization for Multiagent Systems: An Edge-Based Fixed-Time Consensus Approach多代理系统的分布式优化: 基于边缘的固定时间共识方法
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