A Model and Method for Finding the Maximum Structured Flow in a Graph with Multiple Edge Weights

Authors

  • Aleksey Pavlovich Boyko Marshal of the Soviet Union S. M. Budyonny Military Academy of Communications, St. Petersburg
  • Artyom Dmitrievich Lunev B. N. Yeltsin Ural Federal University, Yekaterinburg

DOI:

https://doi.org/10.14529/mmph260102

Keywords:

structured flow, multiple edge weights, network throughput

Abstract

This article presents a network model in the form of a graph, where the edge weights are subsets of integers that characterize the throughput and constrain the flows through the edges. A special type of flow should be formed between s and t nodes in this network. This flow is subject to additional requirements: each edge along the route from s to t should have an identical subset of adjacent ordered elements, the number of which determines the magnitude of the flow. We are interested in finding a subset of such flows that have no common elements and can be simultaneously implemented, with the sum of their magnitudes being maximal for a given network. The presented model and method based on integer linear programming can be used to analyze the throughput of graphs with multiple edge weights.

Author Biographies

Aleksey Pavlovich Boyko, Marshal of the Soviet Union S. M. Budyonny Military Academy of Communications, St. Petersburg

Cand. Sc. (Engineering), Associate Professor, and Doctoral Candidate in the Department of Communication Networks and Switching Systems

Artyom Dmitrievich Lunev, B. N. Yeltsin Ural Federal University, Yekaterinburg

Cand. Sc. (Engineering), Associate Professor in the Department of Radioelectronics and Telecommunications

Published

2026-02-01

Issue

Section

Mathematics