Using Metaheuristics on the Multi-Depot Vehicle Routing Problem with Modified Optimization Criterion
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F18%3A00535317" target="_blank" >RIV/60162694:G42__/18:00535317 - isvavai.cz</a>
Result on the web
<a href="http://www.mdpi.com/1999-4893/11/5/74" target="_blank" >http://www.mdpi.com/1999-4893/11/5/74</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/a11050074" target="_blank" >10.3390/a11050074</a>
Alternative languages
Result language
angličtina
Original language name
Using Metaheuristics on the Multi-Depot Vehicle Routing Problem with Modified Optimization Criterion
Original language description
This article deals with the modified Multi-Depot Vehicle Routing Problem (MDVRP). The modification consists in altering the optimization criterion. The optimization criterion of the standard MDVRP is to minimize the total sum of routes of all vehicles whereas the criterion of modified MDVRP (M MDVRP) is to minimize the longest route of all vehicles; thus the time to conduct the routing operation eis as short as possible. For this problem, a metaheuristic algorithm - based on the Ant Colony Optimization (ACO) theory and developed by the author for solving the classic MDVRP instances - has been modified and adapted for M-MDVRP. In this article, an additional deterministic optimization process which further enhances the original ACO algorithm has been proposed. For evaluation of results, Cordeau's benchmark instances are used.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50902 - Social sciences, interdisciplinary
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Algorithms
ISSN
1999-4893
e-ISSN
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Volume of the periodical
11
Issue of the periodical within the volume
5
Country of publishing house
CH - SWITZERLAND
Number of pages
14
Pages from-to
1-14
UT code for WoS article
000435189200019
EID of the result in the Scopus database
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