A Stochastic Nash Equilibrium Problem for Crisis Rescue

This paper proposes a two-stage stochastic non-cooperative game model to solve relief supplies procurement and distribution optimization of multiple rescue organizations in crisis rescue. Rescue organizations with limited budgets minimize rescue costs through relief supply procurement, storage, and...

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Main Authors: Cunlin Li, Yiyan Li
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Axioms
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Online Access:https://www.mdpi.com/2075-1680/14/6/456
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author Cunlin Li
Yiyan Li
author_facet Cunlin Li
Yiyan Li
author_sort Cunlin Li
collection DOAJ
description This paper proposes a two-stage stochastic non-cooperative game model to solve relief supplies procurement and distribution optimization of multiple rescue organizations in crisis rescue. Rescue organizations with limited budgets minimize rescue costs through relief supply procurement, storage, and transportation in an uncertain environment. Under a mild assumption, we establish the existence and uniqueness of the equilibrium point and derive the optimality conditions by using the duality theory, characterizing the saddle point in the Lagrange framework. The problem is further reformulated as a constraint system governed by Lagrange multipliers, and its optimality is characterized by the Karush–Kuhn–Tucker condition. The economic interpretation of the multipliers as shadow prices is elucidated. Numerical experiments verify the effectiveness of the model in cost optimization in crisis rescue scenarios.
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institution Kabale University
issn 2075-1680
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series Axioms
spelling doaj-art-b9ff9bd8608349bcb6f9bca1b6abc29e2025-08-20T03:32:31ZengMDPI AGAxioms2075-16802025-06-0114645610.3390/axioms14060456A Stochastic Nash Equilibrium Problem for Crisis RescueCunlin Li0Yiyan Li1Ningxia Key Laboratory of Intelligent Information and Big Data Processing, North Minzu University, Wenchang Street, Yinchuan 750021, ChinaSchool of Mathematics and Information Science, North Minzu University, Wenchang Street, Yinchuan 750021, ChinaThis paper proposes a two-stage stochastic non-cooperative game model to solve relief supplies procurement and distribution optimization of multiple rescue organizations in crisis rescue. Rescue organizations with limited budgets minimize rescue costs through relief supply procurement, storage, and transportation in an uncertain environment. Under a mild assumption, we establish the existence and uniqueness of the equilibrium point and derive the optimality conditions by using the duality theory, characterizing the saddle point in the Lagrange framework. The problem is further reformulated as a constraint system governed by Lagrange multipliers, and its optimality is characterized by the Karush–Kuhn–Tucker condition. The economic interpretation of the multipliers as shadow prices is elucidated. Numerical experiments verify the effectiveness of the model in cost optimization in crisis rescue scenarios.https://www.mdpi.com/2075-1680/14/6/456crisis reliefstochastic nash equilibriumlagrange variablesstochastic variational inequalities
spellingShingle Cunlin Li
Yiyan Li
A Stochastic Nash Equilibrium Problem for Crisis Rescue
Axioms
crisis relief
stochastic nash equilibrium
lagrange variables
stochastic variational inequalities
title A Stochastic Nash Equilibrium Problem for Crisis Rescue
title_full A Stochastic Nash Equilibrium Problem for Crisis Rescue
title_fullStr A Stochastic Nash Equilibrium Problem for Crisis Rescue
title_full_unstemmed A Stochastic Nash Equilibrium Problem for Crisis Rescue
title_short A Stochastic Nash Equilibrium Problem for Crisis Rescue
title_sort stochastic nash equilibrium problem for crisis rescue
topic crisis relief
stochastic nash equilibrium
lagrange variables
stochastic variational inequalities
url https://www.mdpi.com/2075-1680/14/6/456
work_keys_str_mv AT cunlinli astochasticnashequilibriumproblemforcrisisrescue
AT yiyanli astochasticnashequilibriumproblemforcrisisrescue
AT cunlinli stochasticnashequilibriumproblemforcrisisrescue
AT yiyanli stochasticnashequilibriumproblemforcrisisrescue