  Robotic access monitoring of multiple target areas has applications including
checkpoint enforcement, surveillance and containment of fire and flood hazards.
Monitoring access for a single target region has been successfully modeled as a
minimum-cut problem. We generalize this model to support multiple target areas
using two approaches: iterating on individual targets and examining the
collections of targets holistically. Through simulation we measure the
performance of each approach on different scenarios.
