NOTE ON POLYNOMIAL-TIME APPROXIMATION SCHEMES FOR INTEGRATED NETWORK DESIGN AND SCHEDULING PROBLEMS

In the integrated network design and scheduling (INDS) problem, we are asked to repair edges in a graph by using parallel machines so that the performance of the network is recovered by a certain level, and the objective is to minimize the makespan required to finish repairing edges. The main aim of this note is to show that polynomial-time approximation schemes exist for various families of the INDS problems with a constant number of parallel machines, including the problems associated with minimum spanning tree, shortest path, maximum edge-disjoint paths, and maximum-weight matching.

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Publication Details

Journal
Journal of the Operations Research Society of Japan
Published
2024-10-31
DOI
https://doi.org/10.15807/jorsj.67.111
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

NOTE ON POLYNOMIAL-TIME APPROXIMATION SCHEMES FOR INTEGRATED NETWORK DESIGN AND SCHEDULING PROBLEMS

Katsuyuki Miura, Akiyoshi Shioura, Yûsuke Saito
Journal of the Operations Research Society of Japan
Scheduling and Optimization Algorithms
article

NOTE ON POLYNOMIAL-TIME APPROXIMATION SCHEMES FOR INTEGRATED NETWORK DESIGN AND SCHEDULING PROBLEMS

Katsuyuki Miura, Akiyoshi Shioura, Yûsuke Saito
article en

Abstract

In the integrated network design and scheduling (INDS) problem, we are asked to repair edges in a graph by using parallel machines so that the performance of the network is recovered by a certain level, and the objective is to minimize the makespan required to finish repairing edges. The main aim of this note is to show that polynomial-time approximation schemes exist for various families of the INDS problems with a constant number of parallel machines, including the problems associated with minimum spanning tree, shortest path, maximum edge-disjoint paths, and maximum-weight matching.

Journal of the Operations Research Society of JapanVol. 67(4)
Tokyo Institute of Technology (JP)
Japan Society for the Promotion of Science
Industry, innovation and infrastructure
Openalex Percentile: Top 70%
Scheduling and Optimization Algorithms
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