Abstract
This paper addresses the Target-Value Search (TVS) problem, which is the problem of finding a path between two nodes in a graph whose cost is as close as possible to a given target value, T. This problem has been previously addressed: first, for directed acyclic graphs; second, for general graphs under the assumption that nodes can be revisited given that the same edge can not be traversed twice. In this work we focus on a more restrictive variant of the same problem where nodes can not be revisited. We prove that this variant is NP-complete and discuss novel theoretical properties and provide empirical results to solve this problem optimally.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 7th Annual Symposium on Combinatorial Search, SoCS 2014 |
| Editors | Stefan Edelkamp, Roman Bartak |
| Publisher | AAAI press |
| Pages | 202-203 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781577356769 |
| State | Published - 2014 |
| Externally published | Yes |
| Event | 7th Annual Symposium on Combinatorial Search, SoCS 2014 - Prague, Czech Republic Duration: 15 Aug 2014 → 17 Aug 2014 |
Publication series
| Name | Proceedings of the 7th Annual Symposium on Combinatorial Search, SoCS 2014 |
|---|---|
| Volume | 2014-January |
Conference
| Conference | 7th Annual Symposium on Combinatorial Search, SoCS 2014 |
|---|---|
| Country/Territory | Czech Republic |
| City | Prague |
| Period | 15/08/14 → 17/08/14 |
Bibliographical note
Publisher Copyright:Copyright c 2014, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
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