Genetic Algorithm for the Continuous Location-Routing Problem
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F19%3A00332245" target="_blank" >RIV/68407700:21260/19:00332245 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.14311/NNW.2019.29.012" target="_blank" >https://doi.org/10.14311/NNW.2019.29.012</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.14311/NNW.2019.29.012" target="_blank" >10.14311/NNW.2019.29.012</a>
Alternative languages
Result language
angličtina
Original language name
Genetic Algorithm for the Continuous Location-Routing Problem
Original language description
This paper focuses on the continuous location-routing problem that comprises of the location of multiple depots from a given region and determining the routes of vehicles assigned to these depots. The objective of the problem is to design the delivery system of depots and routes so that the total cost is minimal. The standard location-routing problem considers a finite number of possible locations. The continuous location-routing problem allows location to infinite number of locations in a given region and makes the problem much more complex. We present a genetic algorithm that tackles both location and routing subproblems simultaneously.
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
10102 - Applied mathematics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Neural Network World
ISSN
1210-0552
e-ISSN
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Volume of the periodical
29
Issue of the periodical within the volume
3
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
15
Pages from-to
173-187
UT code for WoS article
000475843600004
EID of the result in the Scopus database
2-s2.0-85070204786