Offline–Online Approximate Dynamic Programming for Dynamic Vehicle Routing with Stochastic Requests
Offline–Online Approximate Dynamic Programming for Dynamic Vehicle Routing with Stochastic Requests
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Publisher
Baltimore: INFORMS
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Language
English
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Publisher
Baltimore: INFORMS
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Contents
Although increasing amounts of transaction data make it possible to characterize uncertainties surrounding customer service requests, few methods integrate predictive tools with prescriptive optimization procedures to meet growing demand for small-volume urban transport services. We incorporate temporal and spatial anticipation of service requests...
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Full title
Offline–Online Approximate Dynamic Programming for Dynamic Vehicle Routing with Stochastic Requests
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TN_cdi_gale_incontextgauss__A577907385
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_gale_incontextgauss__A577907385
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ISSN
0041-1655
E-ISSN
1526-5447
DOI
10.1287/trsc.2017.0767