A stochastic tri-level interdiction model for relief train location and infrastructure protection
提出了一个战略性的防御者-攻击者-防御者模型，用于救援列车部署和基础设施保护，通过考虑攻击阶段的情景依赖中断来增强灾害响应规划的鲁棒性，并开发了渐进式启发算法解决计算挑战，结果表明考虑不确定性和交互作用可将整体生存概率提高最多70%。
• We introduce a strategic Defender-Attacker-Defender model for relief train deployment and infrastructure protection. • Our approach incorporates scenario-dependent disruptions at the attacker-stage to enhance robustness in disaster response planning. • We develop a progressive hedging-inspired algorithm to tackle the problem’s computational challenges. • Our results show that accounting for uncertainty and interactions can improve overall survival probability by up to 70%.