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Minimum parametric flow in time-dependent dynamic networks. (English) Zbl 1400.90067

Summary: The paper presents a dynamic solution method for the parametric minimum flow in time-dependent, dynamic network. This approach solves the problem for a special parametric dynamic network with linear lower bound functions of a single parameter. Instead of directly working in the original network, the method implements a labelling algorithm which works in the parametric dynamic residual network where repeatedly decreases the flow along quickest dynamic source-sink paths for different subintervals of parameter values, in their increasing order. In each iteration, the algorithm computes both the parametric minimum flow within a certain subinterval, and the new subinterval for which the flow needs to be computed.

MSC:

90B10 Deterministic network models in operations research
05C82 Small world graphs, complex networks (graph-theoretic aspects)
05C38 Paths and cycles
05C12 Distance in graphs
68R10 Graph theory (including graph drawing) in computer science
90C47 Minimax problems in mathematical programming
Full Text: DOI

References:

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