Three Approaches to Solve the Petrobras Challenge: Exploiting Planning Techniques for Solving Real-Life Logistics Problems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10129825" target="_blank" >RIV/00216208:11320/12:10129825 - isvavai.cz</a>
Result on the web
<a href="http://www.ms.mff.cuni.cz/~truno7am/paper.pdf" target="_blank" >http://www.ms.mff.cuni.cz/~truno7am/paper.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICTAI.2012.34" target="_blank" >10.1109/ICTAI.2012.34</a>
Alternative languages
Result language
angličtina
Original language name
Three Approaches to Solve the Petrobras Challenge: Exploiting Planning Techniques for Solving Real-Life Logistics Problems
Original language description
The application of the state-of-the-art techniques into the real-world application is one of the most difficult challenges of the today's science in general and it is, also within the planning community, one of the strongest motivations driving the innovations in this field. Petrobras domain, being an abstraction of a real-life problem of resource-efficient transportation of goods from ports to the petroleum platforms is a good example of a difficult problem standing on the borderline between planning and scheduling that requires application of the state-of-the-art techniques of the modern artificial intelligent. In this paper we provide three different ways of modeling and solving this domain: by utilizing classical planning, temporal planning, and finally, single-player games and Monte-Carlo Tree Search.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 24th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2012]
ISBN
978-0-7695-4915-6
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
191-198
Publisher name
IEEE Press
Place of publication
Athens
Event location
Athens, Greece
Event date
Nov 7, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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