Computer Science – Artificial Intelligence
Scientific paper
Mar 1994
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994spie.2244...10s&link_type=abstract
Proc. SPIE Vol. 2244, p. 10-19, Knowledge-Based Artificial Intelligence Systems in Aerospace and Industry, Wray Buntine; Doug H.
Computer Science
Artificial Intelligence
Scientific paper
It is commonly acknowledged that there is a tradeoff between schedule quality and schedule robustness. In general terms, schedules that are of high quality tend to be of low robustness, and schedules that are robust tend to be of low quality. To better manage the robustness/quality tradeoff, we have developed an algorithm that implements what we call Just-In-Case scheduling; this algorithm explicitly considers the way in which scheduled actions might fail and how such failures can impact the executability of a schedule. Just-In-Case scheduling is able to build schedules that are robust and of high quality. The Just-In-Case algorithm is motivated in this paper by a specific telescope scheduling problem, and the paper presents the results of an experiment, carried out using real telescope scheduling data, that illustrates the performance improvement one can expect from using it.
Bresina John
Drummond Mark
Swanson Keith
No associations
LandOfFree
Just-in-case scheduling for automatic telescopes does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Just-in-case scheduling for automatic telescopes, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Just-in-case scheduling for automatic telescopes will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1587714