Determining a Proper Initial Configuration of Red-Black Planning by Machine Learning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10284160" target="_blank" >RIV/00216208:11320/14:10284160 - isvavai.cz</a>
Result on the web
<a href="http://ceur-ws.org/Vol-1201/paper-12.pdf" target="_blank" >http://ceur-ws.org/Vol-1201/paper-12.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Determining a Proper Initial Configuration of Red-Black Planning by Machine Learning
Original language description
Red-Black planning is a new approach to heuristic design which generalizes the delete relaxation. The heuristic requires several parameters to be set properly in order to achieve good performance. We propose a method to tune these parameters automatically based on machine learning.
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
<a href="/en/project/GAP103%2F10%2F1287" target="_blank" >GAP103/10/1287: PlanEx: Bridging Planning and Execution</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
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 International Workshop on Meta-learning and Algorithm Selection
ISBN
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ISSN
1613-0073
e-ISSN
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Number of pages
2
Pages from-to
51-52
Publisher name
CEUR Workshop Proceedings
Place of publication
Aachen
Event location
Praha
Event date
Aug 19, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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