Hardness and approximation of the Probabilistic p-Center problem under Pressure
share
The Probabilistic p-Center problem under Pressure (Min PpCP) is a variant of the usual Min p-Center problem we recently introduced in the context of wildfire management. The problem is shelters minimizing the maximum distance people will have to cover reach one of these shelters to reach the closest accessible shelter in case of fire. The landscape is divided in zones and is modeled as an edge-weighted graph with vertices corresponding to zones and edges corresponding to direct connections between two adjacent zones. The uncertainty associated with fire outbreaks is modeled using a finite set of fire scenarios. Each scenario with the main consequence of modifying evacuation paths in two ways. First, an evacuation path cannot pass through the vertex on fire. Second, the fact that selecting a direction to escape is modeled using new kinds of evacuation paths. In this paper, for a given instance of Min PpCP defined by an edge-weighted graph G=(V,E,L) and an integer p, we characterize the set of feasible solutions of Min PpCP. We prove that Min PpCP cannot be approximated with a ratio less than 56/55 on subgrids (subgraphs of grids) of degree at most 3. Then, we propose some approximation results for Min PpCP. These results require approximation results for two variants of the (deterministic) Min p-Center problem called Min MAC p-Center and Min Partial p-Center.
READ FULL TEXT