On Constrained Minimum Weight Edge Covers With Applications to Emergency Planning

ABSTRACT In this paper we present a new covering problem, called Min Cost ‐Single Location Cover , where we are given a fixed positive integer , a finite ground set , an integral positive demand for each element , a collection of subsets of , an integral positive cost and an integral positive capacity value for each subset . The task is to choose sets from , with multiple choices being allowed, such that each element is covered at least times. However, if a given subset is chosen to cover an element, it must already cover the entire demand of the element. Moreover, each subset may only cover up to of its elements, where again multiple choices are allowed. Our problem is motivated by a healthcare application for placing emergency doctors into facilities such that all emergencies occurring in a shift can be handled in a satisfactory manner. We show that Min Cost ‐Single Location Cover can be solved in polynomial time for , but is strongly NP‐complete for . To handle the case where equals two, we introduce a new constrained ‐edge cover problem in an edge‐colored graph, called Minimum Weight ‐Edge Cover with Colors . We analyze the complexity of this problem for general graphs as well as for the special instances resulting from an instance of ‐Single Location Cover.

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Journal
Networks
Published
2024-11-21
DOI
https://doi.org/10.1002/net.22261
Primary Topic
Facility Location and Emergency Management
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article
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article

On Constrained Minimum Weight Edge Covers With Applications to Emergency Planning

Sven O. Krumke, Shai Michael Dimant
Networks
Facility Location and Emergency Management
article

On Constrained Minimum Weight Edge Covers With Applications to Emergency Planning

Sven O. Krumke, Shai Michael Dimant
article en

Abstract

ABSTRACT In this paper we present a new covering problem, called Min Cost ‐Single Location Cover , where we are given a fixed positive integer , a finite ground set , an integral positive demand for each element , a collection of subsets of , an integral positive cost and an integral positive capacity value for each subset . The task is to choose sets from , with multiple choices being allowed, such that each element is covered at least times. However, if a given subset is chosen to cover an element, it must already cover the entire demand of the element. Moreover, each subset may only cover up to of its elements, where again multiple choices are allowed. Our problem is motivated by a healthcare application for placing emergency doctors into facilities such that all emergencies occurring in a shift can be handled in a satisfactory manner. We show that Min Cost ‐Single Location Cover can be solved in polynomial time for , but is strongly NP‐complete for . To handle the case where equals two, we introduce a new constrained ‐edge cover problem in an edge‐colored graph, called Minimum Weight ‐Edge Cover with Colors . We analyze the complexity of this problem for general graphs as well as for the special instances resulting from an instance of ‐Single Location Cover.

NetworksVol. 85(3)
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (DE)
Sustainable cities and communities
Openalex Percentile: Top 70%
Facility Location and Emergency Management
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On Constrained Minimum Weight Edge Covers With Applications to Emergency Planning — Sven O. Krumke, Shai Michael Dimant · Networks (2024) | TGRS Research Map | TGRS