Fuzzy C-means-based scenario bundling for stochastic service network design

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Fuzzy C-means-based scenario bundling for stochastic service network design

Stochastic service network designs with uncertain demand represented by a set of scenarios can be modelled as a large-scale two-stage stochastic mixed-integer program (SMIP). The progressive hedging algorithm (PHA) is a decomposition method for solving the resulting SMIP. The computational performan...

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Bibliographic Details
Main Authors:	Jiang, Xiaoping, Bai, Ruibin, Landa-Silva, Dario, Aickelin, Uwe
Format:	Conference or Workshop Item
Published:	2017
Online Access:	https://eprints.nottingham.ac.uk/48609/

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