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Reports (Research Report) Year : 2014

Mass Transportation Problems with Connectivity Constraints, with Applications to Energy Landscape Comparison

Abstract

Given two graphs, the supply and the demand graphs, we analyze the mass trans-portation problem between their vertices, under connectivity constraints. More precisely, for everysubset of supply nodes inducing a connected component of the supply graph, we require that theset of demand nodes receiving non-zero flow from this subset induces a connected component ofthe demand graph. As opposed to the classical problem, a.k.a the earth mover distance (EMD),which is amenable to linear programming (LP), this new problem is very difficult to solve, and wemake four contributions.First, we formally introduce two optimal transportation problems, namely minimum-cost flowunder connectivity constraints problem (EMD-CC) and maximum-flow under cost and connectivityconstraints problem (EMD-CCC). Second, we prove that the decision version of EMD-CC is NP-complete even for very simple classes of instances. We deduce that the decision version of EMD-CCCis NP-complete, and also prove that EMD-CC is not in APX even for simple classes of instances.Third, we develop a greedy heuristic algorithm returning admissible solutions, of time complexityO(n3m2 ) with n and m the numbers of vertices of the supply and demand graphs, respectively.Finally, on the experimental side, we compare the transport plans computed by our greedy methodagainst those produced by the aforementioned LP. Using synthetic landscapes (Voronoi landscapes),we show that our greedy algorithm is effective for graphs involving up to 1000 nodes. We alsoshow the relevance of our algorithms to compare energy landscapes of biophysical systems (proteinmodels).
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Dates and versions

hal-01090705 , version 1 (04-12-2014)

Identifiers

  • HAL Id : hal-01090705 , version 1

Cite

Frédéric Cazals, Dorian Mazauric. Mass Transportation Problems with Connectivity Constraints, with Applications to Energy Landscape Comparison. [Research Report] RR-8611, Inria Sophia Antipolis; INRIA. 2014. ⟨hal-01090705⟩
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