Detailed Information on Publication Record
2023
Real-World Vehicle Routing using Adaptive Large Neighborhood Search
SASSMANN, Vojtěch, Hana RUDOVÁ, Michal GABONAY and Václav SOBOTKABasic information
Original name
Real-World Vehicle Routing using Adaptive Large Neighborhood Search
Authors
SASSMANN, Vojtěch (203 Czech Republic, belonging to the institution), Hana RUDOVÁ (203 Czech Republic, guarantor, belonging to the institution), Michal GABONAY (703 Slovakia) and Václav SOBOTKA (203 Czech Republic, belonging to the institution)
Edition
New York City, USA, Evolutionary Computation in Combinatorial Optimization, p. 34-49, 16 pp. 2023
Publisher
Springer, Cham
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10200 1.2 Computer and information sciences
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
Impact factor
Impact factor: 0.402 in 2005
RIV identification code
RIV/00216224:14330/23:00130219
Organization unit
Faculty of Informatics
ISBN
978-3-031-30034-9
ISSN
UT WoS
000999874000003
Keywords in English
Vehicle routing problem; Pickup and delivery with time windows; Adaptive large neighborhood search; Freight transportation
Tags
International impact, Reviewed
Změněno: 7/4/2024 22:43, RNDr. Pavel Šmerk, Ph.D.
V originále
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.
In Czech
Práce řeší problém směrování vozidel s reálnými charakteristikami ve spolupráci s průmyslovým partnerem Wereldo. Problém je řešen pomocí algoritmu založeného na meta-heuristice Adaptive Large Neighbourhood Search.
Links
| MUNI/A/1389/2022, interní kód MU |
|