On a Synchronization Problem With Multiple Instances
Journal of Computational and Applied Mathematics
23 Pages Posted: 15 Oct 2020 Last revised: 10 Jun 2021
Date Written: April 6, 2021
Abstract
We study a synchronization problem with multiple instances. First, we show that the problem we consider can be formulated as the problem of finding an intra-column rearrangement for multiple matrices (which reflect problem instances) such that the row sums across the various matrices show minimum variability. To obtain the optimal rearrangement, we introduce the Block Swapping Algorithm (BSA) and a further customization of it that we label as the Customized Block Swapping Algorithm (Cust BSA). A numerical study shows that the two algorithms we propose yield high-quality solutions and also deal efficiently with high-dimensional set-ups.
Keywords: Optimization; Anti-monotonicity; Rearrangement Algorithm; ALCS
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