Tractable Pareto Optimization of Temporal Preferences
Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence. Pages 1289-1293.
Abstract
This paper focuses on temporal constraint problems where the objective is to optimize a set of local preferences for when events occur. In previous work, a subclass of these problems has been formalized as a generalization of Temporal CSPs, and a tractable strategy for optimization has been proposed, where global optimality is defined as maximizing the minimum of the component preference values. This criterion for optimality, which we call "Weakest Link Optimization" (WLO), is known to have limited practical usefulness because solutions are compared only on the basis of their worst value; thus, there is no requirement to improve the other values. To address this limitation, we introduce a new algorithm that re-applies WLO iteratively in a way that leads to improvement of all the values. We show the value of this strategy by proving that, with suitable preference functions, the resulting solutions are Pareto Optimal.
@inproceedings{ijcai2003p183,
title = {Tractable Pareto Optimization of Temporal Preferences},
author = {Khatib, Lina and Morris, Paul H. and Morris, Robert A. and Venable, Kristen Brent},
booktitle = {Proceedings of the Eighteenth International Joint Conference on
Artificial Intelligence, {IJCAI-03}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Georg Gottlob},
pages = {1289--1293},
year = {2003},
url = {https://ijcai.org/proceedings/2003/183},
}
TY - CPAPER TI - Tractable Pareto Optimization of Temporal Preferences AU - Khatib, Lina AU - Morris, Paul H. AU - Morris, Robert A. AU - Venable, Kristen Brent T2 - Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03 PB - International Joint Conferences on Artificial Intelligence PY - 2003 SP - 1289 EP - 1293 UR - https://ijcai.org/proceedings/2003/183 ER -Copied
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