Recommending personalized schedules in urban environments

Recommending personalized schedules in urban environments

In this thesis, we are broadly interested in solving real world problems that involve decision support for coordinating agent movements in dynamic urban environments, where people are agents exhibiting different human behavior patterns and preferences. The rapid development of mobile technologies ma...

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Bibliographic Details
Main Author: CHEN, Cen
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2017
Subjects:
planning and scheduling
mobile crowdsourcing
workforce scheduling
orienteering problem
multi-agent task assignment
agent coordination
Computer Engineering
Digital Communications and Networking
Software Engineering
Online Access:https://ink.library.smu.edu.sg/etd_coll_all/22
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1032&context=etd_coll_all
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/etd_coll_all/22
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1032&context=etd_coll_all

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