Robust defibrillator deployment under cardiac arrest location uncertainty via row-and-column generation
Sudden cardiac arrest is a significant public health concern. Successful treatment of cardiac
arrest is extremely time sensitive, and use of an automated external defibrillator (AED) …
arrest is extremely time sensitive, and use of an automated external defibrillator (AED) …
Largest bounding box, smallest diameter, and related problems on imprecise points
Imprecision of input data is one of the main obstacles that prevent geometric algorithms from
being used in practice. We model an imprecise point by a region in which the point must lie …
being used in practice. We model an imprecise point by a region in which the point must lie …
Solving chance-constrained optimization problems with stochastic quadratic inequalities
MA Lejeune, F Margot - Operations Research, 2016 - pubsonline.informs.org
We propose a new and systematic reformulation and algorithmic approach to solve a
complex class of stochastic programming problems involving a joint chance constraint with …
complex class of stochastic programming problems involving a joint chance constraint with …
Minimax regret optimization analysis for a regional solid waste management system
Solid waste management (SWM) facilities are crucial for environmental management and
public health in urban regions. Due to the waste management hierarchy, one of the greatest …
public health in urban regions. Due to the waste management hierarchy, one of the greatest …
A scenario planning approach for propositioning rescue centers for urban waterlog disasters
An urban waterlog disaster can produce severe results, such as residents' property loss,
environmental damages and pollution, and even casualties. This paper presents a system …
environmental damages and pollution, and even casualties. This paper presents a system …
Locating emergency facilities with random demand for risk minimization
Locating emergency service facilities is a challenging problem. Planners do not know
specifically where emergencies will occur and, therefore, struggle to find a location that …
specifically where emergencies will occur and, therefore, struggle to find a location that …
[HTML][HTML] One-dimensional k-center on uncertain data
H Wang, J Zhang - Theoretical Computer Science, 2015 - Elsevier
Problems on uncertain data have attracted significant attention due to the imprecise nature
of many measurement data. In this paper, we consider the k-center problem on one …
of many measurement data. In this paper, we consider the k-center problem on one …
Minmax regret combinatorial optimization problems: an algorithmic perspective
Uncertainty in optimization is not a new ingredient. Diverse models considering uncertainty
have been developed over the last 40 years. In our paper we essentially discuss a particular …
have been developed over the last 40 years. In our paper we essentially discuss a particular …
Minimax regret single-facility ordered median location problems on networks
We consider the single-facility ordered median location problem with uncertainty in the
parameters (weights) defining the objective function. We study two cases. In the first case …
parameters (weights) defining the objective function. We study two cases. In the first case …
Siting and routing assessment for solid waste management under uncertainty using the grey mini-max regret criterion
Solid waste management (SWM) is at the forefront of environmental concerns in the Lower
Rio Grande Valley (LRGV), South Texas. The complexity in SWM drives area decision …
Rio Grande Valley (LRGV), South Texas. The complexity in SWM drives area decision …