Abstract
Path bundling consists in compounding multiple routes in a polygonal map to minimize connectivity in a network structure. Being closely related to the Steiner Tree Problem, yet with a different scope, path bundling aims at computing minimal trees while preserving network connectivity among origin-destination pairs to allow the joint transport of information, goods, and people. In this paper, we propose a method to tackle the path bundling problem in modular bipartite networks by using a two-layer optimization with a convex representation. Exhaustive computational experiments in diverse polygonal domains considering convex and non-convex geometry show the feasibility and the efficiency of the proposed approach, outperforming the state of the art in generating comparatively shorter trees, and improved scalability as a function of edges in bipartite networks.
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Notes
- 1.
\(5\times 5\times 5\times 2\).
- 2.
\(250\times 2000\).
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Parque, V., Miura, S., Miyashita, T. (2019). Path Bundling in Modular Bipartite Networks. In: Obaidat, M., Ören, T., Rango, F. (eds) Simulation and Modeling Methodologies, Technologies and Applications . SIMULTECH 2017. Advances in Intelligent Systems and Computing, vol 873. Springer, Cham. https://doi.org/10.1007/978-3-030-01470-4_12
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