Bounded Suboptimal Token Swapping
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F20%3A00345317" target="_blank" >RIV/68407700:21240/20:00345317 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/ICTAI50040.2020.00186" target="_blank" >https://doi.org/10.1109/ICTAI50040.2020.00186</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICTAI50040.2020.00186" target="_blank" >10.1109/ICTAI50040.2020.00186</a>
Alternative languages
Result language
angličtina
Original language name
Bounded Suboptimal Token Swapping
Original language description
oken swapping (TSWAP) represents a challenging problem underlying in many practical applications ranging from item relocation to quantum program compilation. In TSWAP, we are given an undirected graph with colored vertices. A colored token is placed in each vertex. A pair of tokens can be swapped between a pair of adjacent vertices. The goal is to perform a sequence of swaps so that token and vertex colors agree across the graph. The total number of swaps is usually required to be small. We study bounded sub-optimal algorithms for solving the TSWAP problem.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA19-17966S" target="_blank" >GA19-17966S: intALG-MAPFg: Intelligent Algorithms for Generalized Variants of Multi-Agent Path Finding</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
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 32nd IEEE International Conference on Tools with Artificial Intelligence
ISBN
978-1-7281-9228-4
ISSN
2375-0197
e-ISSN
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Number of pages
8
Pages from-to
1233-1240
Publisher name
IEEE Computer Society
Place of publication
Los Alamitos
Event location
Virtualni
Event date
Nov 9, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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