Physarum-inspired multi-commodity flow dynamics
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Publication:2139048
DOI10.1016/j.tcs.2022.02.001OpenAlexW4212965703MaRDI QIDQ2139048
Golnoosh Shahkarami, Quentin Vermande, Frederic Folz, Kurt Mehlhorn, Vincenzo Bonifaci, Enrico Facca, Andreas Karrenbauer, Giovanna Morigi, Pavel Kolev
Publication date: 17 May 2022
Published in: Theoretical Computer Science (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2009.01498
Cites Work
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- Optimization by Simulated Annealing
- A revised model of fluid transport optimization in \textit{Physarum polycephalum}
- The neglected pillar of material computation
- Failure to the shortest path decision of an adaptive transport network with double edges in Plasmodium system
- \textsc{MassExodus}: modeling evolving networks in harsh environments
- A Laplacian approach to \(\ell_1\)-norm minimization
- Numerical solution of Monge-Kantorovich equations via a dynamic formulation
- A mathematical model for adaptive transport network in path finding by true slime mold
- Convergence of the non-uniform physarum dynamics
- \textit{Physarum} solver: a bio-inspired method for sustainable supply chain network design problem
- Two results on slime mold computations
- \textit{Physarum} can compute shortest paths
- When does a physical system compute?
- Rules for Biologically Inspired Adaptive Network Design
- Neural Networks and Deep Learning
- Natural Algorithms for Flow Problems
- Hessian Riemannian Gradient Flows in Convex Programming
- A Survey on Analog Models of Computation
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