Hardness and approximation of the Probabilistic p-Center problem under Pressure

TL;DR

This paper studies the Probabilistic p-Center problem under Pressure, modeling wildfire evacuation scenarios on graphs, characterizes feasible solutions, proves inapproximability bounds, and proposes approximation algorithms based on related deterministic problems.

Contribution

It introduces a new wildfire evacuation model, characterizes feasible solutions, establishes inapproximability bounds, and provides approximation results leveraging related deterministic problems.

Findings

Min PpCP cannot be approximated within a ratio less than 56/55 on certain subgraphs.

Characterization of feasible solutions for Min PpCP.

Approximation algorithms derived from Min MAC p-Center and Min Partial p-Center.

Abstract

The Probabilistic p-Center problem under Pressure (Min PpCP) is a variant of the usual p-Center problem we recently introduced in the context of wildfire management. The problem is to locate p shelters minimizing the maximum distance people will have to cover to reach the closest accessible shelter in case of fire. The landscape is divided into 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 risk associated with fire outbreaks is modeled using a finite set of fire scenarios. Each scenario corresponds to a fire outbreak on a single zone (i.e., on a vertex) 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 someone close to the fire may not take rational decisions when 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.