Tactical Models based on a Multi-Depot Vehicle Routing Problem Using the Ant Colony Optimization Algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F15%3A00531269" target="_blank" >RIV/60162694:G42__/15:00531269 - 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
Tactical Models based on a Multi-Depot Vehicle Routing Problem Using the Ant Colony Optimization Algorithm
Original language description
This article deals with the metaheuristic solution to the Multi-Depot Vehicle Routing Problem (MDVRP) using the Ant Colony Optimization (ACO) algorithm. The first part of this article presents the original algorithm of the authors. It introduces pivotal principles of the algorithm, along with conducted experiments and acquired results on benchmark instances in comparison with rival state of the art methods. The primary part of the article deals with two tactical models based on our problem solution: (a) optimal supply distribution on the battlefield and (b) optimal UAVs reconnaissance. Both models have become a part of our tactical information system which serves as a tool for commanders to support them in their decision making process. The models are introduced in terms of problem formulation, implementation, and application in practical situations in the domain of the military.
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 Mathematical Models and Methods in Applied Sciences
ISSN
1998-0140
e-ISSN
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Volume of the periodical
9
Issue of the periodical within the volume
summer 2015
Country of publishing house
US - UNITED STATES
Number of pages
8
Pages from-to
330-337
UT code for WoS article
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EID of the result in the Scopus database
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