Tactical Models Based on a Multi-Depot Vehicle Routing Problem
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F13%3A00497664" target="_blank" >RIV/60162694:G42__/13:00497664 - 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
Original language description
The Multi-Depot Vehicle Routing Problem (MDVRP) is an extension of a classic Vehicle Routing Problem (VRP). The main goal is to find optimal routes for a set of vehicles starting from multiple depots to a number of customers. Each customer should be served only once and each vehicle returns to the original depot after visiting all customers along its route. MDVRP is a well-known problem with many real applications. This paper deals with the unique solution to this problem based on applying Ant Colony Optimization (ACO) theory. The main part of the paper presents two tactical models based on this problem solution: (a) optimal supply distribution on the battlefield, and (b) UAVs (Unmanned Aerial Vehicles) routes planning for optimal reconnaissance of thearea of interest.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
KA - Militarism
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Deterioration, Dependability, Diagnostics
ISBN
978-80-7231-939-8
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
187-194
Publisher name
Univerzita obrany
Place of publication
Brno
Event location
Brno
Event date
Jan 1, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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