Faster and Better Simple Temporal Problems
DOI:
https://doi.org/10.1609/aaai.v35i13.17415Keywords:
Temporal Planning, Scheduling, Satisfiability, Satisfiability Modulo TheoriesAbstract
In this paper we give a structural characterization and extend the tractability frontier of the Simple Temporal Problem (STP) by defining the class of the Extended Simple Temporal Problem (ESTP), which augments STP with strict inequalities and monotone Boolean formulae on inequations (i.e., formulae involving the operations of conjunction, disjunction and parenthesization). A polynomial-time algorithm is provided to solve ESTP, faster than previous state-of-the-art algorithms for other extensions of STP that had been considered in the literature, all encompassed by ESTP. We show the practical competitiveness of our approach through a proof-of-concept implementation and an experimental evaluation involving also state-of-the-art SMT solvers.Downloads
Published
2021-05-18
How to Cite
Ostuni, D., Raffaele, A., Rizzi, R., & Zavatteri, M. (2021). Faster and Better Simple Temporal Problems. Proceedings of the AAAI Conference on Artificial Intelligence, 35(13), 11913-11920. https://doi.org/10.1609/aaai.v35i13.17415
Issue
Section
AAAI Technical Track on Planning, Routing, and Scheduling