Kód: 06817135
When we work on a practical scheduling task, we §usually do not have complete knowledge of the §related resources and constraints. For example, when §scheduling a conference, we may not know the exact §sizes of available rooms or ... celý popis
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When we work on a practical scheduling task, we §usually do not have complete knowledge of the §related resources and constraints. For example, when §scheduling a conference, we may not know the exact §sizes of available rooms or equipment needs of some §speakers. The task of constructing a schedule based §on incomplete data gives rise to several related §problems, including the representation of §uncertainty, efficient search for schedules, and §elicitation of additional data that help to reduce §uncertainty. In this work we introduce a new §information elicitation approach aiming to resolve §uncertainty in order to increase quality of §optimization while keeping the number of questions §the user has to answer to a minimum. The approach §differs from other approaches in terms of working §with a continuous domain with a large number of §uncertain variables, not having a need for §bootstrapping, tight integration with the §optimization process and integration of multiple §approaches to elicitation.
Zařazení knihy Knihy v angličtině Computing & information technology Information technology: general issues
1506 Kč
Osobní odběr Praha, Brno a 12903 dalších
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