Managing Constraints with Preferences and Uncertainty

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dc.contributor.author Ayed, Eisa
dc.contributor.author Mouhoub, Malek
dc.date.accessioned 2011-04-18T20:45:08Z
dc.date.available 2011-04-18T20:45:08Z
dc.date.issued 2011-04-02
dc.identifier.uri http://hdl.handle.net/10294/3315
dc.description.abstract Reasoning about preferences and uncertainty is very relevant in constraint optimization. Indeed, many real-life problems under constraints such as timetabling, scheduling, planning and logistics, involve a certain amount of preferences expressed in a qualitative way, i.e.," I prefer X more than Y" or in a quantitative way, i.e., "I prefer X with preference P" where P is a numerical value. In addition, many of these problems include uncertainty due to missing or imprecise information. We present a study of different methods combining quantitative and qualitative preferences in constraint problems. We also investigated the integration of incomplete knowledge in such problems. Finally, we propose a new model including preferences and uncertainty. The new model uses branch and bound technique for exploring the search space and it has been implemented in Java programming language. en_US
dc.language.iso en en_US
dc.publisher University of Regina Graduate Students' Association en_US
dc.relation.ispartofseries Session 4.5 en_US
dc.subject Preferences en_US
dc.subject Soft constraints en_US
dc.subject Uncertainty en_US
dc.title Managing Constraints with Preferences and Uncertainty en_US
dc.type Presentation en_US
dc.description.authorstatus Student en_US
dc.description.peerreview yes en_US


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