RE-ORG: An online repositioning guidance agent
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sg-smu-ink.sis_research-61142020-04-16T07:06:21Z RE-ORG: An online repositioning guidance agent KONDA, Muralidhar VARAKANTHAM, Pradeep SAXENA, Aayush MEGHNA LOWALEKAR, 2019-05-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/5111 https://ink.library.smu.edu.sg/context/sis_research/article/6114/viewcontent/RE_ORG_2019_pv.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Sequential Matching Repositioning guidance optimization Artificial Intelligence and Robotics Operations Research, Systems Engineering and Industrial Engineering Transportation |
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Singapore Singapore |
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Sequential Matching Repositioning guidance optimization Artificial Intelligence and Robotics Operations Research, Systems Engineering and Industrial Engineering Transportation |
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Sequential Matching Repositioning guidance optimization Artificial Intelligence and Robotics Operations Research, Systems Engineering and Industrial Engineering Transportation KONDA, Muralidhar VARAKANTHAM, Pradeep SAXENA, Aayush MEGHNA LOWALEKAR, RE-ORG: An online repositioning guidance agent |
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text |
author |
KONDA, Muralidhar VARAKANTHAM, Pradeep SAXENA, Aayush MEGHNA LOWALEKAR, |
author_facet |
KONDA, Muralidhar VARAKANTHAM, Pradeep SAXENA, Aayush MEGHNA LOWALEKAR, |
author_sort |
KONDA, Muralidhar |
title |
RE-ORG: An online repositioning guidance agent |
title_short |
RE-ORG: An online repositioning guidance agent |
title_full |
RE-ORG: An online repositioning guidance agent |
title_fullStr |
RE-ORG: An online repositioning guidance agent |
title_full_unstemmed |
RE-ORG: An online repositioning guidance agent |
title_sort |
re-org: an online repositioning guidance agent |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2019 |
url |
https://ink.library.smu.edu.sg/sis_research/5111 https://ink.library.smu.edu.sg/context/sis_research/article/6114/viewcontent/RE_ORG_2019_pv.pdf |
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1770575222693429248 |