Parameter Tuning for the Ant Colony Optimization Algorithm used in ISR Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F15%3A00531785" target="_blank" >RIV/60162694:G42__/15:00531785 - isvavai.cz</a>
Result on the web
<a href="http://vavtest.unob.cz/registr" target="_blank" >http://vavtest.unob.cz/registr</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Parameter Tuning for the Ant Colony Optimization Algorithm used in ISR Systems
Original language description
This paper deals with the Ant Colony Optimization (ACO) algorithm developed at University of Defence, Brno, Czech Republic. This algorithm is a metaheuristic algorithm designed for solving the Multi-Depot Vehicle Routing Problem (MDVRP). The algorithm has been integrated into the Tactical Decision Support System (TDSS) which is aimed at supporting commanders in their decision-making processes. TDSS contains several tactical models based on the MDVRP problem. This paper is aimed particularly at parameter tuning for the ACO algorithm.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
KA - Militarism
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Applied Mathematics and Informatics
ISSN
2074-1278
e-ISSN
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Volume of the periodical
9
Issue of the periodical within the volume
12/2015
Country of publishing house
US - UNITED STATES
Number of pages
4
Pages from-to
123-126
UT code for WoS article
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EID of the result in the Scopus database
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