Bottleneck Identification Using Process Chronologies
Proceedings of the Twelfth International Joint Conference on Artificial Intelligence. Automated Reasoning. Pages 218-223.
Abstract
We present a heuristics-based approach to deep space mission scheduling which is modeled on the approach used by expert human schedulers in producing schedules for planetary encounters. New chronological evaluation techniques are used to focus the search by using information gained during the scheduling process to locate, classify, and resolve regions of conflict . Our approach is based on the assumption that during the construction of a schedule there exist several disjunct temporal regions where the demand for one resource type or a single temporal constraint dominates (bottleneck regions). If the scheduler can identify these regions and classify them based on their dominant constraint, then the scheduler can select the scheduling heuristic.
@inproceedings{ijcai1991p33,
title = {Bottleneck Identification Using Process Chronologies},
author = {Biefeld, Eric and Cooper, Lynne P.},
booktitle = {Proceedings of the Twelfth International Joint Conference on
Artificial Intelligence, {IJCAI-91}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John Mylopoulos and Ray Reiter},
pages = {218--223},
year = {1991},
month = {8},
note = {Automated Reasoning},
url = {https://ijcai.org/proceedings/1991/33},
}
TY - CPAPER TI - Bottleneck Identification Using Process Chronologies AU - Biefeld, Eric AU - Cooper, Lynne P. T2 - Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, IJCAI-91 PB - International Joint Conferences on Artificial Intelligence PY - 1991 SP - 218 EP - 223 UR - https://ijcai.org/proceedings/1991/33 ER -Copied
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