A Method for Multi-Leader–Multi-Follower Games by Smoothing the Followers’ Response Function

IF 1.5 3区 数学 Q2 MATHEMATICS, APPLIED Journal of Optimization Theory and Applications Pub Date : 2024-08-02 DOI:10.1007/s10957-024-02506-2
Atsushi Hori, Daisuke Tsuyuguchi, Ellen H. Fukuda
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Abstract

The multi-leader–multi-follower game (MLMFG) involves two or more leaders and followers and serves as a generalization of the Stackelberg game and the single-leader–multi-follower game. Although MLMFG covers wide range of real-world applications, its research is still sparse. Notably, fundamental solution methods for this class of problems remain insufficiently established. A prevailing approach is to recast the MLMFG as an equilibrium problem with equilibrium constraints (EPEC) and solve it using a solver. Meanwhile, interpreting the solution to the EPEC in the context of MLMFG may be complex due to shared decision variables among all leaders, followers’ strategies that each leader can unilaterally change, but the variables are essentially controlled by followers. To address this issue, we introduce a response function of followers’ noncooperative game that is a function with leaders’ strategies as a variable. Employing this approach allows the MLMFG to be solved as a single-level differentiable variational inequality using a smoothing scheme for the followers’ response function. We also demonstrate that the sequence of solutions to the smoothed variational inequality converges to a stationary equilibrium of the MLMFG. Finally, we illustrate the behavior of the smoothing method by numerical experiments.

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通过平滑追随者的响应函数实现多领导者与多追随者博弈的方法
多领导者-多追随者博弈(MLMFG)涉及两个或两个以上的领导者和追随者,是对斯泰尔伯格博弈和单领导者-多追随者博弈的概括。虽然 MLMFG 在现实世界中应用广泛,但对它的研究仍然很少。值得注意的是,该类问题的基本求解方法仍然不够成熟。目前流行的一种方法是将 MLMFG 重塑为带均衡约束的均衡问题(EPEC),并使用求解器进行求解。同时,在 MLMFG 的背景下解释 EPEC 的解可能很复杂,因为所有领导者共享决策变量,每个领导者可以单方面改变追随者的策略,但变量基本上由追随者控制。为了解决这个问题,我们引入了追随者非合作博弈的响应函数,它是一个以领导者策略为变量的函数。采用这种方法,就可以利用追随者响应函数的平滑方案,将 MLMFG 作为单级可变不等式求解。我们还证明,平滑变分不等式的解序列收敛于 MLMFG 的静态均衡。最后,我们通过数值实验说明了平滑方法的行为。
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来源期刊
CiteScore
3.30
自引率
5.30%
发文量
149
审稿时长
9.9 months
期刊介绍: The Journal of Optimization Theory and Applications is devoted to the publication of carefully selected regular papers, invited papers, survey papers, technical notes, book notices, and forums that cover mathematical optimization techniques and their applications to science and engineering. Typical theoretical areas include linear, nonlinear, mathematical, and dynamic programming. Among the areas of application covered are mathematical economics, mathematical physics and biology, and aerospace, chemical, civil, electrical, and mechanical engineering.
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