This paper discusses the issue of efficient resolution of timeline-based planning problems. In particular, taking inspiration from the more classical heuristics for the resolution of STRIPS-like problems, it proposes a new heuristic strategy which, while maintaining the variables lifted, allows more accurate decisions. The concepts presented in this work pave the way for a new type of heuristics which, at present, allow this kind of solvers a significant performance improvement.

Lifted Heuristics for Timeline-based Planning

De Benedictis R;Cesta A
2020

Abstract

This paper discusses the issue of efficient resolution of timeline-based planning problems. In particular, taking inspiration from the more classical heuristics for the resolution of STRIPS-like problems, it proposes a new heuristic strategy which, while maintaining the variables lifted, allows more accurate decisions. The concepts presented in this work pave the way for a new type of heuristics which, at present, allow this kind of solvers a significant performance improvement.
2020
Istituto di Scienze e Tecnologie della Cognizione - ISTC
978-1-64368-100-9
Automated Planning
Timeline-based Planning
Planning & Scheduling
Heuristic Search
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/401170
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