Fleet design optimisation from historical data using constraint programming and large neighbourhood search

Overview of attention for article published in Constraints, August 2015

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About this Attention Score

One of the highest-scoring outputs from this source (#8 of 105)
Good Attention Score compared to outputs of the same age (73rd percentile)
High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter: 7 X users

Citations

dimensions_citation: 12 Dimensions

Readers on

mendeley: 21 Mendeley

Summary X Dimensions citations

So far, Altmetric has seen 10 X posts from 7 X users, with an upper bound of 12,397 followers.

RT @constraints_cp: Fleet design optimisation from historical data using CP and LNS by @tunnuz_ https://t.co/MXktp611Pf #copr #application …

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RT @constraints_cp: Fleet design optimisation from historical data using CP and LNS by @tunnuz_ https://t.co/MXktp611Pf #copr #application …

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Fleet design optimisation from historical data using CP and LNS by @tunnuz_ https://t.co/MXktp611Pf #copr #application #best #cp2015

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RT @constraints_cp: Fleet design optim from historical data using cp and large neighbourhood search #OpenAccess #cp2015 paper http://t.co/G…

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Fleet design optim from historical data using cp and large neighbourhood search #OpenAccess #cp2015 paper http://t.co/GSoLo9Z4sW #copr

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RT @tunnuz_: Fleet design optimisation from historical data using CP and LNS http://t.co/a7fK7m2AIQ (preprint http://t.co/R8IMhSFO71) #orms…

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RT @tunnuz_: Fleet design optimisation from historical data using CP and LNS http://t.co/a7fK7m2AIQ (preprint http://t.co/R8IMhSFO71) #orms…

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RT @tunnuz_: Fleet design optimisation from historical data using CP and LNS http://t.co/a7fK7m2AIQ (preprint http://t.co/R8IMhSFO71) #orms…

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RT @tunnuz_: Fleet design optimisation from historical data using CP and LNS http://t.co/a7fK7m2AIQ (preprint http://t.co/R8IMhSFO71) #orms…

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Fleet design optimisation from historical data using CP and LNS http://t.co/a7fK7m2AIQ (preprint http://t.co/R8IMhSFO71) #orms #logistics

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