Decomposition Based Refinement for the Network Interdiction Problem
July 14, 2023 Β· Declared Dead Β· π IEEE Conference on High Performance Extreme Computing
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Authors
Krish Matta, Xiaoyuan Liu, Ilya Safro
arXiv ID
2307.07577
Category
cs.DS: Data Structures & Algorithms
Citations
0
Venue
IEEE Conference on High Performance Extreme Computing
Last Checked
5 months ago
Abstract
The shortest path network interdiction (SPNI) problem poses significant computational challenges due to its NP-hardness. Current solutions, primarily based on integer programming methods, are inefficient for large-scale instances. In this paper, we introduce a novel hybrid algorithm that can utilize Ising Processing Units (IPUs) alongside classical solvers. This approach decomposes the problem into manageable sub-problems, which are then offloaded to the slow but high-quality classical solvers or IPU. Results are subsequently recombined to form a global solution. Our method demonstrates comparable quality to existing whole problem solvers while reducing computational time for large-scale instances. Furthermore, our approach is amenable to parallelization, allowing for simultaneous processing of decomposed sub-problems.
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