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In this paper, we are interested in the Robust Sensor Placement Problem (RSPP) in municipal water networks. As the contamination source and time are rather random and almost impossible to forecast, we aim to minimize the maximum population exposed over all contamination scenarios by placing a limited number of sensors into the network. We formulate a mixed-integer program model based on an absolute...
This paper considers a location-optimization problem where the classical facility location model is recast in a stochastic environment with several risk factors that make travel time from facility site to customer site probabilistic. We present a Stochastically Travel Time Location Problem (STTLP), a more general set covering problem than classical set covering location problem. Given a discrete network...
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