Stochastic Decentralized Routing of Unsplittable Vehicle Flows Using Constraint Optimization

  • Maksims FiosinsEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 217)


A decentralized solution to the unsplittable flow problem (UFP) in a transport network is considered, where each flow uses only one route from source to sink and the flows cannot be separated into parts in intermediate nodes. The flow costs in each edge depend on the combination of the assigned flows as well as on external random variables. The distributions of the random variables are unknown, only samples are available. In order to use the information available in the samples more effectively, several resamples are constructed from the original samples. The nodes agree on the resamples in a decentralized way using a cooperative resampling scheme. A decentralized asynchronous solution algorithm for the flow routing problem in these conditions is proposed, which is based on the ADOPT algorithm for asynchronous distributed constraint optimization (DCOP). An example illustrating the proposed approach is presented.


Child Node Transport Network Constraint Optimization Local Cost Change Point Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  1. 1.Clausthal University of TechnologyClausthal-ZellerfeldGermany

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