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Districting and Routing for Security Control

机译:安排和安全控制路由

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Regular security controls on a day by day basis are an essential and important mechanism to prevent theft and vandalism in business buildings. Typically, security workers patrol through a set of objects where each object requires a particular number of visits on all or some days within a given planning horizon, and each of these visits has to be performed in a specific time window. An important goal of the security company is to partition all objects into a minimum number of disjoint clusters such that for each cluster and each day of the planning horizon a feasible route for performing all the requested visits exists. Each route is limited by a maximum working time, must satisfy the visits' time window constraints, and any two visits of one object must be separated by a minimum time difference. We call this problem the Districting and Routing Problem for Security Control. In our heuristic approach we split the problem into a districting part where objects have to be assigned to districts and a routing part where feasible routes for each combination of district and period have to be found. These parts cannot be solved independently though. We propose an exact mixed integer linear programming model and a routing construction heuristic in a greedy like fashion with variable neighborhood descent for the routing part as well as a districting construction heuristic and an iterative destroy & recreate algorithm for the districting part. Computational results show that the exact algorithm is only able to solve small routing instances and the iterative destroy & recreate algorithm is able to reduce the number of districts significantly from the starting solutions.
机译:每天一天的定期安全控制是防止商业建筑中盗窃和破坏的重要和重要机制。通常,安全工作者通过一组对象巡逻,其中每个对象在给定规划地平线内的全部或某些日间都需要特定数量的访问,并且必须在特定时间窗口中执行这些访问中的每一个。安全公司的一个重要目标是将所有对象分区成最小的不相交群集,使每个集群和规划地平线的每一天都存在用于执行所有请求的访问的可行路由。每个路由受到最大工作时间的限制,必须满足访问的时间窗口约束,并且必须通过最小时间差来分隔一个对象的任何两个访问。我们将此问题称为安全控制的参考和路由问题。在我们的启发式方法中,我们将问题分成了一个地区部分,其中必须分配给地区和路由部分,其中必须找到每个地区和时期的每个组合的可行路线。尽管如此,这些部件不能解决。我们提出了一个精确的混合整数线性编程模型和一个像时尚的贪婪建筑启发式,具有可变邻域下降,用于路由部分以及用于所在地区部分的地区建筑启发式和迭代破坏和重建算法。计算结果表明,确切的算法仅能够解决小路由实例,并且迭代破坏和重新创建算法能够从起始解决方案中显着减少地区的数量。

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