A Genetic Algorithm for the 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%2F68407700%3A21260%2F15%3A00234735" target="_blank" >RIV/68407700:21260/15:00234735 - isvavai.cz</a>
Result on the web
<a href="http://www.ttp.net/978-3-03835-622-6.html" target="_blank" >http://www.ttp.net/978-3-03835-622-6.html</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4028/www.scientific.net/AMM.803.69" target="_blank" >10.4028/www.scientific.net/AMM.803.69</a>
Alternative languages
Result language
angličtina
Original language name
A Genetic Algorithm for the Multi-Depot Vehicle Routing Problem
Original language description
In this paper, we focus on the optimization of the system of the spare parts distribution for authorized garages in the Czech Republic. A spare parts market belongs to one of the key elements of the car industry. However, it has to adapt to still higherrequirements on accuracy, speed and minimum error rate of the deliveries with keeping the costs at its minimum at the same time. The distribution of products from depots to customers is a practical and challenging problem in logistics that opens a significant space for application of software products. The design of optimal routes of vehicles from two depots can be formulated in combinatorial optimization as a multi-depot vehicle routing problem. The goal of a multi-depot vehicle routing problem is to design routes that start and end in one of the depots and visit a subset of customers in a specific sequence. Every customer has to be visited on one of the routes and the total costs for the delivery should be minimal. Vehicle routing pro
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Applied Mechanics and Materials
ISSN
1660-9336
e-ISSN
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Volume of the periodical
803
Issue of the periodical within the volume
803(2015)
Country of publishing house
CH - SWITZERLAND
Number of pages
7
Pages from-to
69-75
UT code for WoS article
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EID of the result in the Scopus database
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