Real-World Vehicle Routing using Adaptive Large Neighborhood Search
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F23%3A00130219" target="_blank" >RIV/00216224:14330/23:00130219 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-031-30035-6_3" target="_blank" >http://dx.doi.org/10.1007/978-3-031-30035-6_3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-30035-6_3" target="_blank" >10.1007/978-3-031-30035-6_3</a>
Alternative languages
Result language
angličtina
Original language name
Real-World Vehicle Routing using Adaptive Large Neighborhood Search
Original language description
The paper targets a real-world vehicle routing application in cooperation with industrial partner Wereldo. The problem is addressed by a solver based on the Adaptive Large Neighbourhood Search meta-heuristic.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Evolutionary Computation in Combinatorial Optimization
ISBN
9783031300349
ISSN
0302-9743
e-ISSN
—
Number of pages
16
Pages from-to
34-49
Publisher name
Springer, Cham
Place of publication
New York City, USA
Event location
New York City, USA
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000999874000003