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Iterative approaches to design of robust emergency system

机译:鲁棒应急系统设计的迭代方法

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A robust structure of an emergency service system is usually designed so that the deployment of given number of service centers complies with specified scenarios by minimizing the maximal value of objective functions corresponding with the particular scenarios. If the problem is modelled by means of mathematical programming and solved by a general IP solver, than the min-max link-up constraints represent an undesirable burden in any integer programming design problems due to bad convergence of embedded branch-and-bound method. Within this paper, we try to overcome the drawback following from the link-up constraints by usage of several techniques based on iterative processing. We provide the reader with a comparison of the original min-max approach to the suggested approach based on the Lagrangean relaxation of the troublesome constraints and subsequent usage of sub-gradient method for Lagrangean multiplier adjustment.
机译:通常设计紧急服务系统的稳健结构,以便通过最小化与特定方案相对应的目标功能的最大值,使给定数量的服务中心的部署符合特定方案。如果通过数学编程对问题进行建模并通过通用IP求解器进行求解,则由于嵌入式分支定界方法的收敛性较差,因此最小-最大链接约束在任何整数编程设计问题中均表示不希望的负担。在本文中,我们尝试通过使用基于迭代处理的几种技术来克服链接限制带来的缺点。我们为读者提供了将原始最小-最大方法与建议方法的比较,该方法基于麻烦约束的Lagrangean松弛和随后用于Lagrangean乘数调整的次梯度方法的使用。

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