File Download

There are no files associated with this item.

Supplementary

Conference Paper: Lift Scheduling: A Machine Learning Approach

TitleLift Scheduling: A Machine Learning Approach
Authors
Chau, MCLYen, BP
Issue Date2006
PublisherINFORMS
Citation
INFORMS International Conference (INFORMS 2006), Hong Kong, 25-28 June 2006 How to Cite?
AbstractIn this paper, we study the problem of lift (elevator) scheduling with the aim to optimize performance by ways such as minimizing the average wait time of passengers. A model is developed to represent the problem and a machine learning approach is proposed to address the problem.
Persistent Identifierhttp://hdl.handle.net/10722/112310

 

DC FieldValueLanguage
dc.contributor.authorChau, MCLen_HK
dc.contributor.authorYen, BPen_HK
dc.date.accessioned2010-09-26T03:26:36Z-
dc.date.available2010-09-26T03:26:36Z-
dc.date.issued2006en_HK
dc.identifier.citationINFORMS International Conference (INFORMS 2006), Hong Kong, 25-28 June 2006-
dc.identifier.urihttp://hdl.handle.net/10722/112310-
dc.description.abstractIn this paper, we study the problem of lift (elevator) scheduling with the aim to optimize performance by ways such as minimizing the average wait time of passengers. A model is developed to represent the problem and a machine learning approach is proposed to address the problem.-
dc.languageengen_HK
dc.publisherINFORMS-
dc.relation.ispartofINFORMS International Conference, INFORMS 2006en_HK
dc.titleLift Scheduling: A Machine Learning Approachen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChau, MCL: mchau@business.hku.hken_HK
dc.identifier.emailYen, BP: benyen@business.hku.hken_HK
dc.identifier.authorityChau, MCL=rp01051en_HK
dc.identifier.authorityYen, BP=rp01121en_HK
dc.identifier.hkuros121271en_HK

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats