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A TIL-Relaxed Heuristic for Planning with Time Windows

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Date

2018

Authors

Allard, Tony
Gretton, Charles
Haslum, Patrik

Journal Title

Journal ISSN

Volume Title

Publisher

AAAI Press

Abstract

We consider planning problems with time windows, in which the availability of discrete resources is time constrained. We develop a novel heuristic that addresses specifically the difficulty of coordinating actions within time windows. The heuristic is based on solving a temporally relaxed problem and measuring the magnitude by which the relaxed solution violates the time window constraints. Applied in a state-space search planner, the heuristic reduces the number of dead-ends encountered during search, and improves planner coverage.

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Keywords

Citation

URI

http://hdl.handle.net/1885/313649

Collections

ANU Research Publications

Source

Proceedings of the 28th International Conference on Automated Planning and Scheduling

Type

Conference paper

Book Title

Entity type

Access Statement

Free Access via publisher website

License Rights

DOI

10.1609/icaps.v28i1.13884

Restricted until

2099-12-31

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13884-Article Text-17402-1-2-20201228.pdf (541.06 KB)

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