On multi-robot search for a stationary object
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F17%3A00319120" target="_blank" >RIV/68407700:21730/17:00319120 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/document/8098696/" target="_blank" >http://ieeexplore.ieee.org/document/8098696/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ECMR.2017.8098696" target="_blank" >10.1109/ECMR.2017.8098696</a>
Alternative languages
Result language
angličtina
Original language name
On multi-robot search for a stationary object
Original language description
Two variants of multi-robot search for a stationary object in a priori known environment represented by a graph are studied in the paper. The first one is generalization of the Traveling Deliveryman Problem where more than one deliveryman is allowed to be used in a solution. Similarly, the second variant is generalization of the Graph Search Problem. A novel heuristics suitable for both problems is proposed which is furthermore integrated into a cluster-first route second approach. A set of computational experiments was conducted over the benchmark instances derived from the TSPLIB library. The results obtained show that even a standalone heuristics significantly outperforms the standard solution based on k- means clustering in quality of results as well as computational time. The integrated approach furthermore improves solutions found by a standalone heuristics by up to 15% at the expense of higher computational complexity.
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
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2017
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 ECMR 2017
ISBN
978-1-5386-1096-1
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
IEEE
Place of publication
Marseille
Event location
Paris
Event date
Sep 6, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000426455100043