Fair Integral Network Flows
成果类型:
Article
署名作者:
Frank, Andras; Murota, Kazuo
署名单位:
Eotvos Lorand University; Research Organization of Information & Systems (ROIS); Institute of Statistical Mathematics (ISM) - Japan; Tokyo Metropolitan University
刊物名称:
MATHEMATICS OF OPERATIONS RESEARCH
ISSN/ISSBN:
0364-765X
DOI:
10.1287/moor.2022.1303
发表日期:
2023
页码:
1393-1422
关键词:
minimum
algorithm
摘要:
A strongly polynomial algorithm is developed for finding an integer-valued feasible st-flow of a given flow amount, which is decreasingly minimal on a specified subset F of edges in the sense that the largest flow value on F is as small as possible; within this, the second largest flow value on F is as small as possible; within this, the third largest flow value on F is as small as possible, and so on. A characterization of the set of these st-flows gives rise to an algorithm to compute a cheapest F-decreasingly minimal integer-valued feasible st-flow of given flow amount. Decreasing minimality is a possible formal way to capture the intuitive notion of fairness.
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