Comparison of machine learning algorithms for real-time vehicle selection in transport management
This thesis compares algorithms for a dynamic pickup and delivery problem, when new orders are arriving throughout the day. The dispatchers job is to assign incoming orders to a fleet of vehicles. Historical data is used to train the algorithms, where the objective is to select the same vehicle as t...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2018
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240591 |