Abstract
Prior approaches for finding the longest simple path (LSP) in a graph used constraints solvers and genetic algorithms. In this work, we solve the LSP problem with heuristic search. We first introduce several methods for pruning dominated path prefixes. Then, we propose several admissible heuristic functions for this problem. Experimental results demonstrate the large impact of the proposed heuristics and pruning rules.
| Original language | English |
|---|---|
| Pages (from-to) | 75-79 |
| Number of pages | 5 |
| Journal | Proceedings International Conference on Automated Planning and Scheduling, ICAPS |
| Volume | 30 |
| DOIs | |
| State | Published - 29 May 2020 |
| Externally published | Yes |
| Event | 30th International Conference on Automated Planning and Scheduling, ICAPS 2020 - Nancy, France Duration: 26 Oct 2020 → 30 Oct 2020 |
Bibliographical note
Publisher Copyright:Copyright © 2020, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
Funding
This research was supported by the Israel Ministry of Science, the ISF grants #844/17 to Ariel Felner and #210/17 to Roni Stern.
| Funders | Funder number |
|---|---|
| Israel Science Foundation | 844/17, 210/17 |
| Ministry of science and technology, Israel |
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