0000000000877625

AUTHOR

Antonio Diglio

0000-0002-9775-3927

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Solutions for districting problems with chance-constrained balancing requirements

2021

Abstract In this paper, a districting problem with stochastic demands is investigated. The goal is to divide a geographic area into p contiguous districts such that, with some given probability, the districts are balanced with respect to some given lower and upper thresholds. The problem is cast as a p -median problem with contiguity constraints that is further enhanced with chance-constrained balancing requirements. The total assignment cost of the territorial units to the representatives of the corresponding districts is used as a surrogate compactness measure to be optimized. Due to the tantalizing purpose of deriving a deterministic equivalent for the problem, a two-phase heuristic is d…

Mathematical optimizationInformation Systems and ManagementHeuristic (computer science)Computer scienceStrategy and Management0211 other engineering and technologiesStochastic programmingHeuristic02 engineering and technologyManagement Science and Operations ResearchPoisson distributionMeasure (mathematics)Contiguity (probability theory)Set (abstract data type)Contiguitysymbols.namesake0502 economics and business050210 logistics & transportation021103 operations research05 social sciencesStochastic programmingsymbolsProbability distributionDistrictingHeuristicsStochastic demandOmega
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